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The software obviously poses ethical concerns as it allows manipulation of a voice recording to say anything desired.\r\nWith the introduction of Adobe Voco and the similarly capable WaveNet, produced by DeepMind, the speech synthesis is verging on being completely indistinguishable from a real human's voice creating huge ethical concerns.\r\nAdobe says Adobe Voco will lower the cost of audio production.","shortDescription":"Adobe Voco is an audio editing and generating prototype software by Adobe that enables novel editing and generation of audio.","type":"Software","isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Adobe Voco","keywords":"Adobe, voice, Voco, speech, target, that, desired, concerns","description":"As input the program takes approximately 20 minutes of the desired target's speech and after that it can generate sound-alike voice with even phonemes that were not present in the target example material. The software obviously poses ethical concerns as it all","og:title":"Adobe Voco","og:description":"As input the program takes approximately 20 minutes of the desired target's speech and after that it can generate sound-alike voice with even phonemes that were not present in the target example material. The software obviously poses ethical concerns as it all","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Adobe_Voco.jpg"},"eventUrl":"","translationId":1041,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"},{"id":283,"title":"Content Analytics, Discovery, and Cognitive Software","alias":"content-analytics-discovery-and-cognitive-software","description":"<span style=\"font-weight: bold; \">Content Analytics</span> comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. <span style=\"font-weight: bold; \">Content analytics software</span> uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company's unstructured data.\r\n<span style=\"font-weight: bold; \">Discovery tools</span> are the search tools that analyse contents for its likely relevancy to a process, by linking names, time periods or terms used. Discovery tools can also extend to legal hold and partitioning of content for further scrutiny. Various types of discovery tools include search engines, auto-categorization, and information visualization tools.\r\n<span style=\"font-weight: bold;\">Cognitive computing software</span> makes context computable by identifying and extracting context features such as hour, location, task, history or profile in structured way for an individual or an application engaged in a specific process at definite time and place. Cognitive computing technologies and platforms includes expert assistance software.\r\n<span style=\"font-weight: bold;\">Content Analytics, Discovery and Cognitive Systems,</span> collectively covers the market and technologies that access, analyse, organize, and provides advisory services related to a range of unstructured data. Cognitive systems leverages large amounts of structured and unstructured data and content analytics tools, along with several infrastructure technologies to answer questions, provide recommendations and directions. ","materialsDescription":"<h1 class=\"align-center\">What are Content Analytics?</h1>\r\nContent analytics is one way that brands can measure the success of their digital content; it involves analyzing data from both inbound and outbound collateral to figure out what’s working and what’s not. After all, no one wants to spend hundreds or even thousands of dollars on content that isn’t resonating.\r\nIt should come as no surprise, then, that 75 percent of enterprises think content analytics can provide real business insight: What are your customers most interested in reading about? What format generates the most engagement? You can use answers to these questions to help you decide what content you should be producing, how to present it (quiz, paid ad, slideshow, blog post, etc.), and where/when to post it for the best results. If utilized correctly, content analytics can offer brands a way to build customer loyalty and boost revenue.\r\nAdvanced content analytics strategies should help you to look beyond the numbers and to focus on taking action. Content analytics is not a mirror reflecting how your company’s content is performing; rather, it is but one tool that can help steer you towards actionable solutions and more effective content choices.\r\nMetrics provided by content analytics, and the actions you take based off that data, can help you optimize conversion rates. In addition to tweaking your content strategy, you can also build a conversion optimization strategy by testing calls-to-action (CTAs), headlines, subscription forms, etc.\r\n<h1 class=\"align-center\"><span style=\"font-weight: bold; \">What are the features of a cognitive computing solution?</span></h1>\r\nWith the present state of cognitive function computing, basic solution can play an excellent role of an assistant or virtual advisor. Siri, Google assistant, Cortana, and Alexa are good examples of personal assistants. Virtual advisor such as Dr. AI by HealthTap is a cognitive solution. It relies on individual patients’ medical profiles and knowledge gleaned from 105,000 physicians. It compiles a prioritized list of the symptoms and connects to a doctor if required. Now, experts are working on implementing cognitive solutions in enterprise systems. Some use cases are fraud detection using machine learning, predictive analytics solution, predicting oil spills in Oil and Gas production cycle etc.\r\nThe purpose of cognitive computing is the creation of computing frameworks that can solve complicated problems without constant human intervention. In order to implement cognitive function computing in commercial and widespread applications, Cognitive Computing consortium has recommended the following features for the computing systems:\r\n<span style=\"font-weight: bold; \">Adaptive.</span>This is the first step in making a machine learning based cognitive system. The solutions should mimic the ability of the human brain to learn and adapt from the surroundings. The systems can’t be programmed for an isolated task. It needs to be dynamic in data gathering, understanding goals, and requirements.\r\n<span style=\"font-weight: bold; \">Interactive.</span>Similar to brain the cognitive solution must interact with all elements in the system – processor, devices, cloud services and user. Cognitive systems should interact bi-directionally. It should understand human input and provide relevant results using natural language processing and deep learning. Some skilled intelligent chatbots such as Mitsuku have already achieved this feature.\r\n<span style=\"font-weight: bold; \">Iterative and stateful.</span>The system should “remember” previous interactions in a process and return information that is suitable for the specific application at that point in time. It should be able to define the problem by asking questions or finding an additional source. This feature needs a careful application of the data quality and validation methodologies in order to ensure that the system is always provided with enough information and that the data sources it operates on to deliver reliable and up-to-date input.\r\n<span style=\"font-weight: bold; \">Contextual.</span>They must understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task, and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided). ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Content_Analytics_Discovery_and_Cognitive_Software.png"}],"characteristics":[],"concurentProducts":[{"id":1076,"logoURL":"https://old.roi4cio.com/fileadmin/content/deepASR.png","logo":true,"scheme":false,"title":"deepASR®","vendorVerified":0,"rating":"0.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"deepasrr","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"<p>Сегодня наш двигатель отличается распознаванием 11 языков, включая английский (США, Канада, Великобритания и Южная Африка), испанский, русский, польский, румынский, казахский, украинский и греческий.</p>\r\n<p>Благодаря запатентованному методу обучения и настройки Omilia, deepASR&reg; способен достичь уровня ошибок Word менее половины унаследованных поставщиков услуг.</p>\r\n<p>Для всех основных языков Omilia предлагает адаптированные акустические и языковые модели, которые охватывают акценты и диалектические вариации внутри страны.</p>","shortDescription":"Механизм автоматического распознавания речи использует самые передовые формы глубокого обучения, обеспечивая беспрецедентную точность в распознавании, которая обычно достигает человеческого уровня ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":12,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"deepASR®","keywords":"языков, Omilia, унаследованных, половины, услуг, менее, поставщиков, ошибок","description":"<p>Сегодня наш двигатель отличается распознаванием 11 языков, включая английский (США, Канада, Великобритания и Южная Африка), испанский, русский, польский, румынский, казахский, украинский и греческий.</p>\r\n<p>Благодаря запатентованному методу обучения и наст","og:title":"deepASR®","og:description":"<p>Сегодня наш двигатель отличается распознаванием 11 языков, включая английский (США, Канада, Великобритания и Южная Африка), испанский, русский, польский, румынский, казахский, украинский и греческий.</p>\r\n<p>Благодаря запатентованному методу обучения и наст","og:image":"https://old.roi4cio.com/fileadmin/content/deepASR.png"},"eventUrl":"","translationId":7043,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":82,"title":"Unified Communications","alias":"unified-communications","description":"Unified communications (UC) is a framework for integrating various asynchronous and real-time communication tools. The goal of UC is to enhance business communication, collaboration and productivity. Unified communications do not represent a singular technology; rather, it describes a strategy for integrating interconnected systems of enterprise communication devices and applications that can be used in concert or successively.\r\nSome business communication tools - like Internet Protocol (IP) telephony and video conferencing - facilitate real-time communication, also called synchronous communication. Other enterprise communication tools, like email, facilitate asynchronous communication, which takes place at a person's convenience.\r\nIncreasingly, team collaboration tools have emerged to offer messaging-centric workflows and near-real-time communication. These tools also offer voice and video capabilities, API integrations and, ultimately, expound on instant messaging services by providing better UC features.\r\nThe goal of unified communications is to integrate the software that supports synchronous and asynchronous communication, so the end user has easy access to all tools from whatever device is in use.\r\nA unified communications environment is typically supported by one or more back-end systems, often referred to as UC platforms, that facilitate integration among services, as well as the front-end clients that provide access. For example, a web conferencing system would make use of an audio conferencing system - which, in turn, would be built on an underlying IP telephony platform - and a unified messaging client would allow click-to-talk (CTC), click-to-chat or click-to-video functionality.\r\nUC also supports users moving from one mode of communication to another within the same session. For example, a user may start communicating via email but then decide to escalate the interaction to real-time communication, transitioning the session to a voice call with one click and then to a video conference with another click without any disruption.\r\nUnified communications systems and their components can be deployed on premises, in a public or private cloud, or a combination of all three. Cloud-based unified communications is also called UC as a service (UCaaS). An open source project called WebRTC, for example, enables real-time communications to be embedded into web browsers.\r\nHistorically, single-vendor UC environments have demonstrated the tightest integration and compatibility. Interoperability among vendors remains an ongoing challenge in UC, but it has also been mitigated, in part, by partnerships, common protocols and open APIs.","materialsDescription":" <span style=\"font-weight: bold;\">What technology do unified communications have?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contrasting unified messaging</span></span>\r\nUnified communications are sometimes confused with unified messaging, but it is distinct. Unified communications refer to both real-time and non-real-time delivery of communications based on the preferred method and location of the recipient; unified messaging culls messages from several sources (such as e-mail, voice mail and faxes), but holds those messages only for retrieval at a later time. Unified communications allow for an individual to check and retrieve an e-mail or voice mail from any communication device at any time. It expands beyond voice mail services to data communications and video services.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Components</span></span>\r\nWith unified communications, multiple modes of business communications are integrated. Unified communications is not a single product but a collection of elements that include:\r\n<ul><li>Call control and multimodal communications</li><li>Presence</li><li>Instant messaging</li><li>Unified messaging</li><li>Speech access and personal assistant</li><li>Conferencing (audio, Web and video)</li><li>Collaboration tools</li><li>Mobility</li><li>Business process integration (BPI)</li><li>Software to enable business process integration</li></ul>\r\nPresence — knowing where intended recipients are, and if they are available, in real-time — is a key component of unified communications. Unified communications integrate all systems a user might already use, and helps those systems work together in real-time. For example, unified communications technology could allow a user to seamlessly collaborate with another person on a project, even if the two users are in separate locations. The user could quickly locate the necessary person by accessing an interactive directory, engage in a text messaging session, and then escalate the session to a voice call or even a video call.\r\nIn another example, an employee receives a call from a customer who wants answers. Unified communications enable that employee to call an expert colleague from a real-time list. This way, the employee can answer the customer faster by eliminating rounds of back-and-forth e-mails and phone-tag.\r\nThe examples in the previous paragraph primarily describe &quot;personal productivity&quot; enhancements that tend to benefit the individual user. While such benefits can be important, enterprises are finding that they can achieve even greater impact by using unified communications capabilities to transform business processes. This is achieved by integrating UC functionality directly into the business applications using development tools provided by many of the suppliers. Instead of the individual user invoking the UC functionality to, say, find an appropriate resource, the workflow or process application automatically identifies the resource at the point in the business activity where one is needed.\r\nWhen used in this manner, the concept of presence often changes. Most people associate presence with instant messaging (IM &quot;buddy lists&quot;) the status of individuals is identified. But, in many business process applications, what is important is finding someone with a certain skill. In these environments, presence identifies available skills or capabilities.\r\nThis &quot;business process&quot; approach to integrating UC functionality can result in bottom-line benefits that are an order of magnitude greater than those achievable by personal productivity methods alone.\r\n<span style=\"font-weight: bold;\">Related concepts</span>\r\nUnified communications &amp; collaboration (UCC) is the integration of various communications methods with collaboration tools such as virtual white boards, real-time audio and video conferencing, and enhanced call control capabilities. Before this fusion of communications and collaboration tools into a single platform, enterprise collaboration service vendors and enterprise communications service vendors offered distinctly different solutions. Now, collaboration service vendors also offer communications services, and communications service providers have developed collaboration tools.\r\nUnified communications &amp; collaboration as a service (UCCaaS) is cloud-based UCC platforms. Compared to premises-based UCC solutions, UCCaaS platforms offer enhanced flexibility and scalability due to the SaaS subscription model.\r\nUnified communications provisioning is the act of entering and configuring the settings for users of phone systems, instant messaging, telepresence, and other collaboration channels. Provisioners refer to this process as making moves, adds, changes, and deletes or MAC-Ds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Unified_Communications.png"},{"id":186,"title":"VoIP - Voice over Internet Protocol","alias":"voip-voice-over-internet-protocol","description":"<span style=\"font-weight: bold;\">Voice over Internet Protocol </span>(Voice over IP, VoIP) is a methodology and group of technologies for the delivery of voice communications and multimedia sessions over Internet Protocol (IP) networks, such as the Internet. Other terms commonly associated with VoIP solutions are IP telephony, Internet telephony, broadband telephony, and broadband phone service.\r\nThe term Internet telephony specifically refers to the provisioning of communications services (voice, fax, SMS, voice-messaging) over the public Internet, rather than via the public switched telephone network (PSTN). The steps and principles involved in originating VoIP telephone calls are similar to traditional digital telephony and involve signaling, channel setup, digitization of the analog voice signals, and encoding.\r\nInstead of being transmitted over a circuit-switched network, however, the digital information is packetized, and transmission occurs as IP packets over a packet-switched network. Such transmission entails careful considerations about resource management different from time-division multiplexing (TDM) networks.\r\n\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> What are the benefits of VoIP?</h1>\r\n VoIP technology can facilitate tasks and deliver services that might be cumbersome or costly to implement when using traditional PSTN: \r\n<ul><li>More than one phone call can be transmitted on the same broadband phone line. This way, VoIP system can facilitate the addition of telephone lines to businesses without the need for additional physical lines.</li><li>Features that are usually charged extra by telecommunication companies, such as call forwarding, caller ID or automatic redialing, are simple with voice over internet technology.</li><li>Unified Communications are secured with VoIP technology, as it allows integration with other services available on the internet such as video conversation, messaging, etc. </li></ul>\r\n<h1 class=\"align-center\">VoIP programs </h1>\r\nThere are four main types of VoIP technology. Each option has varying levels of complexity which can impact ease of implementation and maintenance.\r\n <span style=\"font-weight: bold;\">Integrated Access</span>\r\nIntegrated access is the VoIP service that most mimics the traditional phone line. With integrated access VoIP, businesses integrate VoIP software and existing, legacy phone systems. This approach lets the business keep its old number and equipment while also gaining access to advanced telecommunications features. \r\n<span style=\"font-weight: bold;\">SIP Trunks</span>\r\n Session Initial Protocol (SIP) transmits voice and video information across a data network, letting VoIP users take advantage of shared lines and increase their communications flexibility. Because all data is sent over a network, businesses can use SIP trunks to replace traditional analog phone networks or use a VoIP gateway to integrate SIP trunking with legacy phone systems. \r\n<span style=\"font-weight: bold;\">Hosted IP PBX</span>\r\n What most people envision when they think of VoIP, this VoIP solution sees a vendor host and operate the private branch exchange, offering unified communications solutions. The business connects to a hosted cloud-based PBX network via its IP network. Phone system hardware is maintained off-site by the hosted IP PBX vendor, and all responsibility for the hardware, software, maintenance, security and upgrades all falls on the hosted PBX provider. \r\n <span style=\"font-weight: bold;\">Managed IP PBX </span>\r\nSimilar to Hosted IP PBX, this version of the unified communication solution is outsourced to a third party that takes care of all management requirements, but instead of phone hardware being off-site, the equipment is housed on-premise by the business. \r\nUnderstanding these different services of VoIP communication can help a business determine the system that best suits its needs. SIP Trunks, for instance, are more attractive to those who want to install their own technology and manage it themselves, while still connecting to VoIP features.\r\n On the other hand, managed IP PBX is a good option for those who don’t have the resources to buy and operate their own VoIP systems. The Hosted IP PBX solution frees the business to select the VoIP management software that works for them and liberates them from the cost and administrative headache of maintaining both voice and data lines and the related carrier partnerships. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/VoIP_-_Voice_over_Internet_Protocol.png"},{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":5878,"logoURL":"https://old.roi4cio.com/fileadmin/content/grooper-logo.png","logo":true,"scheme":false,"title":"Grooper","vendorVerified":0,"rating":"0.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"grooper","companyTitle":"BIS, Inc.","companyTypes":["supplier","vendor"],"companyId":8704,"companyAlias":"bis-inc","description":"<p class=\"MsoNormal\">Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent document and digital data integration platform. Grooper combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing. Grooper &ndash; intelligent document processing; limitless, template-free data integration. <a href=\"https://www.grooper.com/\">https://www.grooper.com</a></p>","shortDescription":"Grooper software helps organizations innovate workflows by integrating difficult data.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":7,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Grooper","keywords":"","description":"<p class=\"MsoNormal\">Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent docume","og:title":"Grooper","og:description":"<p class=\"MsoNormal\">Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent docume","og:image":"https://old.roi4cio.com/fileadmin/content/grooper-logo.png"},"eventUrl":"","translationId":5878,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":283,"title":"Content Analytics, Discovery, and Cognitive Software","alias":"content-analytics-discovery-and-cognitive-software","description":"<span style=\"font-weight: bold; \">Content Analytics</span> comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. <span style=\"font-weight: bold; \">Content analytics software</span> uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company's unstructured data.\r\n<span style=\"font-weight: bold; \">Discovery tools</span> are the search tools that analyse contents for its likely relevancy to a process, by linking names, time periods or terms used. Discovery tools can also extend to legal hold and partitioning of content for further scrutiny. Various types of discovery tools include search engines, auto-categorization, and information visualization tools.\r\n<span style=\"font-weight: bold;\">Cognitive computing software</span> makes context computable by identifying and extracting context features such as hour, location, task, history or profile in structured way for an individual or an application engaged in a specific process at definite time and place. Cognitive computing technologies and platforms includes expert assistance software.\r\n<span style=\"font-weight: bold;\">Content Analytics, Discovery and Cognitive Systems,</span> collectively covers the market and technologies that access, analyse, organize, and provides advisory services related to a range of unstructured data. Cognitive systems leverages large amounts of structured and unstructured data and content analytics tools, along with several infrastructure technologies to answer questions, provide recommendations and directions. ","materialsDescription":"<h1 class=\"align-center\">What are Content Analytics?</h1>\r\nContent analytics is one way that brands can measure the success of their digital content; it involves analyzing data from both inbound and outbound collateral to figure out what’s working and what’s not. After all, no one wants to spend hundreds or even thousands of dollars on content that isn’t resonating.\r\nIt should come as no surprise, then, that 75 percent of enterprises think content analytics can provide real business insight: What are your customers most interested in reading about? What format generates the most engagement? You can use answers to these questions to help you decide what content you should be producing, how to present it (quiz, paid ad, slideshow, blog post, etc.), and where/when to post it for the best results. If utilized correctly, content analytics can offer brands a way to build customer loyalty and boost revenue.\r\nAdvanced content analytics strategies should help you to look beyond the numbers and to focus on taking action. Content analytics is not a mirror reflecting how your company’s content is performing; rather, it is but one tool that can help steer you towards actionable solutions and more effective content choices.\r\nMetrics provided by content analytics, and the actions you take based off that data, can help you optimize conversion rates. In addition to tweaking your content strategy, you can also build a conversion optimization strategy by testing calls-to-action (CTAs), headlines, subscription forms, etc.\r\n<h1 class=\"align-center\"><span style=\"font-weight: bold; \">What are the features of a cognitive computing solution?</span></h1>\r\nWith the present state of cognitive function computing, basic solution can play an excellent role of an assistant or virtual advisor. Siri, Google assistant, Cortana, and Alexa are good examples of personal assistants. Virtual advisor such as Dr. AI by HealthTap is a cognitive solution. It relies on individual patients’ medical profiles and knowledge gleaned from 105,000 physicians. It compiles a prioritized list of the symptoms and connects to a doctor if required. Now, experts are working on implementing cognitive solutions in enterprise systems. Some use cases are fraud detection using machine learning, predictive analytics solution, predicting oil spills in Oil and Gas production cycle etc.\r\nThe purpose of cognitive computing is the creation of computing frameworks that can solve complicated problems without constant human intervention. In order to implement cognitive function computing in commercial and widespread applications, Cognitive Computing consortium has recommended the following features for the computing systems:\r\n<span style=\"font-weight: bold; \">Adaptive.</span>This is the first step in making a machine learning based cognitive system. The solutions should mimic the ability of the human brain to learn and adapt from the surroundings. The systems can’t be programmed for an isolated task. It needs to be dynamic in data gathering, understanding goals, and requirements.\r\n<span style=\"font-weight: bold; \">Interactive.</span>Similar to brain the cognitive solution must interact with all elements in the system – processor, devices, cloud services and user. Cognitive systems should interact bi-directionally. It should understand human input and provide relevant results using natural language processing and deep learning. Some skilled intelligent chatbots such as Mitsuku have already achieved this feature.\r\n<span style=\"font-weight: bold; \">Iterative and stateful.</span>The system should “remember” previous interactions in a process and return information that is suitable for the specific application at that point in time. It should be able to define the problem by asking questions or finding an additional source. This feature needs a careful application of the data quality and validation methodologies in order to ensure that the system is always provided with enough information and that the data sources it operates on to deliver reliable and up-to-date input.\r\n<span style=\"font-weight: bold; \">Contextual.</span>They must understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task, and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided). ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Content_Analytics_Discovery_and_Cognitive_Software.png"},{"id":709,"title":"Data Entry","alias":"data-entry","description":" Data entry, a person-based process, is &quot;one of the important basic&quot; tasks needed when no machine-readable version of the information for planned computer-based analysis or processing is readily available.\r\nSometimes what is needed is &quot;information about information (that) can be greater than the value of the information itself.&quot; It can also involve filling in required information which is then &quot;data-entered&quot; from what was written on the research document, such as the growth in available items in a category. This is a higher level of abstraction than Metadata, &quot;information about data.&quot;\r\nData entry is often done with a keyboard and at times also using a mouse, although a manually-fed scanner may be involved.\r\nHistorically, devices lacking any pre-processing capabilities were used.\r\nKeypunching. Data entry using keypunches was related to the concept of Batch processing - there was no immediate feedback.\r\nComputer keyboards. Computer keyboards and online data-entry provide the ability to give feedback to the data entry clerk doing the work.\r\nNumeric keypads. The addition of numeric keypads to computer keyboards introduced quicker and often also the less error-prone entry of numeric data.\r\nComputer mouse. The use of a computer mouse, typically on a personal computer, opened up another option for doing data entry.\r\nTouch screens. Touch screens introduced even more options, including the ability to stand and do data entry, especially given &quot;a proper height of work surface when performing data entry.&quot;","materialsDescription":" <span style=\"font-weight: bold;\">What does Data Entry mean?</span>\r\nData entry is the process of transcribing information into an electronic medium such as a computer or other electronic device. It can either be performed manually or automatically by using a machine or computer. Most data entry tasks are time consuming in nature, however data entry is considered a basic, necessary task for most organizations.\r\nData entry is considered a non–core process for most organizations and is usually performed on data forms such as spreadsheets, handwritten or scanned documents, audio or video. Addition, modification and deletion are the three modes of operation in data entry.\r\nData entry jobs do not require any special qualifications, knowledge or talent, and only require accuracy and fast turnaround. As such, data entry jobs are frequently outsourced in order to lower costs. Computers are also used in automated data entry, as they are highly accurate and can be programmed to fetch and transcribe data into the required medium.\r\nAccurately keyed data is the base upon which the organization can perform analyses and make plans.\r\nManual data entry often requires good concentration and focus over a long duration of time, and this can prove physically and mentally challenging for data entry workers.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Data_Entry.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1085,"logoURL":"https://old.roi4cio.com/fileadmin/content/DeepNLUStudio.png","logo":true,"scheme":false,"title":"deepNLUStudio®","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"deepnlustudior","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"Создавайте и управляйте семантическими интерпретационными моделями и онтологиями, которые будут способствовать естественному пониманию вашего приложения.\r\nСоздавайте, тестируйте и развертывайте свой виртуальный агент непосредственно из deepNLUStudio®. После публикации ваше приложение будет обрабатывать голосовой или текстовый ввод в диалоговом интерфейсе с конечными пользователями.","shortDescription":"С помощью deepNLUStudio® вы можете создавать, управлять и редактировать диалоговые сценарии в течение нескольких минут, а также создавать расширенные диалоги для управления потоком беседы с клиентами.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":5,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"deepNLUStudio®","keywords":"deepNLUStudio®, Создавайте, будет, голосовой, обрабатывать, публикации, После, ваше","description":"Создавайте и управляйте семантическими интерпретационными моделями и онтологиями, которые будут способствовать естественному пониманию вашего приложения.\r\nСоздавайте, тестируйте и развертывайте свой виртуальный агент непосредственно из deepNLUStudio®. После пу","og:title":"deepNLUStudio®","og:description":"Создавайте и управляйте семантическими интерпретационными моделями и онтологиями, которые будут способствовать естественному пониманию вашего приложения.\r\nСоздавайте, тестируйте и развертывайте свой виртуальный агент непосредственно из deepNLUStudio®. После пу","og:image":"https://old.roi4cio.com/fileadmin/content/DeepNLUStudio.png"},"eventUrl":"","translationId":7048,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":492,"title":"Enterprise Service Bus Middleware","alias":"enterprise-service-bus-middleware","description":" An enterprise service bus (ESB) implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA). It represents a software architecture for distributed computing, and is a special variant of the more general client-server model, wherein any application may behave as server or client. ESB promotes agility and flexibility with regard to high-level protocol communication between applications. Its primary use is in enterprise application integration (EAI) of heterogeneous and complex service landscapes.\r\nThe concept of the enterprise service bus is analogous to the bus concept found in computer hardware architecture combined with the modular and concurrent design of high-performance computer operating systems. The motivation for the development of the architecture was to find a standard, structured, and general purpose concept for describing implementation of loosely coupled software components (called services) that are expected to be independently deployed, running, heterogeneous, and disparate within a network. ESB is also a common implementation pattern for service-oriented architecture, including the intrinsically adopted network design of the World Wide Web.\r\nNo global standards exist for enterprise service bus concepts or implementations. Most providers of message-oriented middleware have adopted the enterprise service bus concept as de facto standard for a service-oriented architecture. The implementations of ESB use event-driven and standards-based message-oriented middleware in combination with message queues as technology frameworks. However, some software manufacturers relabel existing middleware and communication solutions as ESB without adopting the crucial aspect of a bus concept.\r\nThe ESB is implemented in software that operates between the business applications, and enables communication among them. Ideally, the ESB should be able to replace all direct contact with the applications on the bus, so that all communication takes place via the ESB. To achieve this objective, the ESB must encapsulate the functionality offered by its component applications in a meaningful way. This typically occurs through the use of an enterprise message model. The message model defines a standard set of messages that the ESB transmits and receives. When the ESB receives a message, it routes the message to the appropriate application. Often, because that application evolved without the same message model, the ESB has to transform the message into a format that the application can interpret. A software adapter fulfills the task of effecting these transformations, analogously to a physical adapter.\r\nESBs rely on accurately constructing the enterprise message model and properly designing the functionality offered by applications. If the message model does not completely encapsulate the application functionality, then other applications that desire that functionality may have to bypass the bus, and invoke the mismatched applications directly. Doing so violates the principles of the ESB model, and negates many of the advantages of using this architecture.\r\nThe beauty of the ESB lies in its platform-agnostic nature and the ability to integrate with anything at any condition. It is important that Application Lifecycle Management vendors truly apply all the ESB capabilities in their integration products while adopting SOA. Therefore, the challenges and opportunities for EAI vendors are to provide an integration solution that is low-cost, easily configurable, intuitive, user-friendly, and open to any tools customers choose.","materialsDescription":" <span style=\"font-weight: bold;\">What is an Enterprise Service Bus (ESB)?</span>\r\nAn Enterprise Service Bus (ESB) is a type of software platform known as middleware, which works behind the scenes to aid application-to-application communication. Think of an ESB as a “bus” that picks up information from one system and delivers it to another.\r\nThe term ESB first appeared in 2002, but the technology continues to evolve, driven by the need for ever-emerging internet applications to communicate and interact with one another.\r\n<span style=\"font-weight: bold;\">Why would I want an ESB?</span>\r\nImagine that there are two systems in an organization that needs to exchange data. The technical teams that represent each system plan and implement a solution that allows these systems to communicate. A year or two later, the organization deploys several more systems that need to interact with each other as well as the existing two systems. How can all teams develop and reach an agreement on the best solution?\r\nIt becomes very complicated to manage and maintain one solution as an organization’s IT systems expand. With just 10 systems, there could be 100 different interfaces and scores of disparate technical requirements.\r\nAn ESB provides a secure, scalable and cost-effective infrastructure that enables real-time data exchange among many systems. Data from one system, known as a service provider, can be put on the enterprise service bus as a message, which is sent immediately to a service consumer of the data. If a new system wants to consume this same data, all it has to do is plug into the bus in the same manner.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Enterprise_Service_Bus_Middleware.png"},{"id":221,"title":"Process Automation Middleware","alias":"process-automation-middleware","description":" At the current level of development, process automation is one of the approaches to process management based on the use of information technology. This approach allows the management of operations, data, information and resources through the use of computers and software that reduce the degree of human participation in the process, or completely eliminate it.\r\nThe main goal of automation is to improve the quality of the process. An automated process has more stable characteristics than a manual process. In many cases, process automation can increase productivity, reduce process execution time, reduce cost, increase accuracy and stability of operations.\r\nTo date, process automation has covered many industries and areas of activity: from manufacturing processes to shopping in stores. Regardless of the size and scope of the organization, almost every company has automated processes. The process approach provides for all processes the same principles of automation.\r\nDespite the fact that process automation can be performed at various levels, the principles of automation for all levels and all types of processes will remain the same. These are general principles that set the conditions for the efficient execution of processes in automatic mode and establish rules for automatic process control.\r\nThe basic principles of process automation are: the principle of consistency, the principle of integration, the principle of independence of execution. These general principles are detailed depending on the level of automation under consideration and specific processes. For example, automation of production processes includes principles such as the principle of specialization, the principle of proportionality, the principle of continuity, etc.","materialsDescription":" <span style=\"font-weight: bold; \">What are the levels of process automation?</span>\r\nProcess automation is needed to support management at all levels of the company hierarchy. In this regard, the levels of automation are determined depending on the level of control at which the automation of processes is performed.\r\nManagement levels are usually divided into operational, tactical and strategic.\r\nIn accordance with these levels, automation levels are also distinguished:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Lower level of automation or level of performers.</span></span> At this level, automation of regularly running processes is carried out. Automation of processes is aimed at performing operational tasks (for example, executing a production process), maintaining established parameters (for example, autopilot operation), and maintaining certain operating modes (for example, temperature conditions in a gas boiler).</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Production management level or tactical level.</span></span> Automation of processes of this level ensures the distribution of tasks between various processes of the lower level. Examples of such processes are production management processes (production planning, service planning), processes of managing resources, documents, etc.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">Enterprise management level or strategic level.</span></span> Automation of the processes of the enterprise management level provides the solution of analytical and forecast tasks. This level of automation is necessary to support the work of top management of the organization. It is aimed at financial, economic and strategic management.</li></ul>\r\nAutomation of processes at each of these levels is provided through the use of various automation systems (CRM systems, ERP systems, OLAP systems, etc.). All automation systems can be divided into three basic types.\r\nTypes of automation systems include:\r\n<ul><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">immutable systems.</span></span> These are systems in which the sequence of actions is determined by the configuration of the equipment or process conditions and cannot be changed during the process.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">programmable systems.</span></span> These are systems in which the sequence of actions may vary depending on a given program and process configuration. The selection of the necessary sequence of actions is carried out through a set of instructions that can be read and interpreted by the system.</li><li><span style=\"font-style: italic; \"><span style=\"font-weight: bold; \">flexible (self-adjusting) systems.</span></span> These are systems that are able to carry out the selection of necessary actions in the process of work. Changing the configuration of the process (sequence and conditions of operations) is based on information about the process.</li></ul>\r\nThese types of systems can be applied at all levels of process automation individually or as part of a combined system.\r\n<span style=\"font-weight: bold; \">What are the types of automated processes?</span>\r\nIn each sector of the economy, there are enterprises and organizations that produce products or provide services. All these enterprises can be divided into three groups, depending on their “remoteness” in the natural resource processing chain.\r\nThe first group of enterprises is enterprises that extract or produce natural resources. Such enterprises include, for example, agricultural producers, oil and gas companies.\r\nThe second group of enterprises is enterprises that process natural raw materials. They make products from raw materials mined or produced by enterprises of the first group. Such enterprises include, for example, automobile industry enterprises, steel enterprises, electronic industry enterprises, power plants, etc.\r\nThe third group is service enterprises. Such organizations include, for example, banks, educational institutions, medical institutions, restaurants, etc.\r\nFor all enterprises, we can distinguish common groups of processes associated with the production of products or the provision of services.\r\nThese processes include:\r\n<ul><li>business processes;</li><li>design and development processes;</li><li>production processes;</li><li>control and analysis processes.</li></ul>\r\n<span style=\"font-weight: bold;\">What are the benefits of process automation?</span>\r\nProcess automation can significantly improve the quality of management and product quality. With the implementation of the QMS, automation gives a significant effect and enables the organization to significantly improve its work. However, before deciding on process automation, it is necessary to evaluate the benefits of running processes in an automatic mode.\r\nTypically, process automation provides the following benefits:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">the speed of completing repetitive tasks increases.</span></span> Due to the automatic mode, the same tasks can be completed faster because automated systems are more accurate in operations and are not prone to a decrease in performance from the time of work.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">quality of work increases.</span></span> The exclusion of the human factor significantly reduces variations in the execution of the process, which leads to a decrease in the number of errors and, accordingly, increases the stability and quality of the process.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">increases control accuracy.</span></span> Due to the use of information technology in automated systems, it becomes possible to save and take into account a greater amount of process data than with manual control.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">parallel tasks.</span></span> Automated systems allow you to perform several actions at the same time without loss of quality and accuracy. This speeds up the process and improves the quality of the results.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">quick decision making in typical situations.</span></span> In automated systems, decisions related to typical situations are made much faster than with manual control. This improves the performance of the process and avoids inconsistencies in subsequent stages.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Process_Automation_Middleware.png"},{"id":164,"title":"Billing","alias":"billing","description":"Billing is a complex set of programs that allows you to calculate the number of services provided, while the calculations are carried out in a variety of units of measurement. Services are charged and as a result, the client receives a ready invoice, which additionally takes into account all promotions and discounts. The billing covers three main functions: settlement operations, provision of information, financial services.\r\nTypes of billing:\r\n<ul><li>Convergent billing is a carrier-class subsystem that provides mutual settlements with the customer of any network and an arbitrary informative application.</li><li>Automatic billing is a broad definition, including a variety of phenomena: from bank statements to making a payment with a plastic card.</li><li>Deferred billing is called billing, in which the calculation is made on the basis of the calls made.</li><li>Using hot billing reduces the delay in debiting funds, i.e. the speed of interaction with the service provider increases.</li><li>Mobile billing (SMS billing) is a method of electronic payment, in which payment for services is made using a telephone.</li></ul>\r\nCurrency calculation unit between the bank and the world payment system is called the billing currency. When the billing currency is different from the currency of the account, automatic conversion of funds occurs at the bank exchange rate.","materialsDescription":" <span style=\"font-weight: bold;\">Billing tasks:</span>\r\nThe main task of the billing is to provide a full account to the subscriber, information about which is available in this billing network. The billing system is responsible for the transfer of funds from the client’s account to the organization’s account for the services provided.\r\nBilling systems allow complete accounting of each consumer’s account.\r\n<ul><li>revenues;</li><li>costs;</li><li>used services;</li><li>personal tariff plans;</li><li>the amount of funds on the balance sheet;</li><li>discounts and promotions;</li><li>other information of an informative plan.</li></ul>\r\nEffective billing is needed to save time for both operators and consumers. With all this, the billing system should be as transparent as possible, that is, the client must know exactly what services he uses and how much he pays for it. The billing system should be as simple and understandable as possible to consumers, but it should take into account all the parameters set by the service.\r\n<span style=\"font-weight: bold;\">Customer billing options:</span>\r\n<ul><li>automated calculation of the cost of services;</li><li>the ability to quickly receive services;</li><li>automatic debiting of funds (monthly fee and/or payment for services);</li><li> instant receipt of bill details;</li><li>the ability to receive timely information about new services, discounts and so on;</li><li>automatic crediting of bonuses and calculation of discounts.</li></ul>\r\nA properly functioning billing system provides an opportunity for employees of an organization using it to quickly receive information about the use of services and automatically invoice consumers. With the help of billing, it becomes easy to serve customers with bills and coupons, get a quick payment for services. The billing also produces an estimate of consumption, based on this information, the organization can draw conclusions about the demand for various types of services. Thanks to billing, providing clients with advertising information about new promotions, services, and tariffs is automated.\r\nMembers of the billing process:\r\n<ul><li>organizations that produce the necessary resources for the billing process - billing providers;</li><li>organizations that are the primary consumer of billing - cellular operators, Internet telephony operators, Internet providers, providers of digital television and so on;</li><li>ordinary users.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Billing1.png"},{"id":188,"title":"EDI - Electronic Data Interchange","alias":"edi-electronic-data-interchange","description":"Electronic Data Interchange (EDI) is the electronic interchange of business information using a standardized format; a process which allows one company to send information to another company electronically rather than with paper. Business entities conducting business electronically are called trading partners.\r\nMany business documents can be exchanged using EDI, but the two most common are purchase orders and invoices. At a minimum, EDI replaces the mail preparation and handling associated with traditional business communication. However, the real power of EDI is that it standardizes the information communicated in business documents, which makes possible a &quot;paperless&quot; exchange.\r\nThe traditional invoice illustrates what this can mean. Most companies create invoices using a computer system, print a paper copy of the invoice and mail it to the customer. Upon receipt, the customer frequently marks up the invoice and enters it into its own computer system. The entire process is nothing more than the transfer of information from the seller's computer to the customer's computer. EDI makes it possible to minimize or even eliminate the manual steps involved in this transfer.","materialsDescription":" <span style=\"font-weight: bold;\">What does Electronic Data Interchange (EDI) mean?</span>\r\nElectronic data interchange (EDI) is the electronic transmission of structured data by agreed message standards from one computer system to another without human intervention. It is a system for exchanging business documents with external entities.\r\nEDI refers to a family of standards and does not specify transmission methods, which are freely agreed upon by the trading partners.\r\nThe wide adoption of EDI in the business world facilitates efficiency and cost reduction. EDI is used in such diverse business-to-business relationships as:\r\n<ul><li>Interchanges between health care providers and insurers</li><li>Travel and hotel bookings</li><li>Education</li><li>Supply chain management</li><li>Administration</li><li>Tax reporting</li></ul>\r\nEDI is a sequence of messages between two trading partners, either of which may serve as the originator or recipient. The messages are transmitted and received without human intervention. Each message is composed according to a standardized syntax from a sequence of standardized data elements. It is this standardization that makes message assembling, disassembling and processing by the computer possible.\r\nEDI is considered to be a technical representation of a business conversation between two entities, either internal or external. The EDI standards were designed to be independent of communication and software technologies. EDI can be transmitted using any methodology agreed to by the sender and recipient. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/EDI__-_Electronic_Data_Interchange.png"},{"id":82,"title":"Unified Communications","alias":"unified-communications","description":"Unified communications (UC) is a framework for integrating various asynchronous and real-time communication tools. The goal of UC is to enhance business communication, collaboration and productivity. Unified communications do not represent a singular technology; rather, it describes a strategy for integrating interconnected systems of enterprise communication devices and applications that can be used in concert or successively.\r\nSome business communication tools - like Internet Protocol (IP) telephony and video conferencing - facilitate real-time communication, also called synchronous communication. Other enterprise communication tools, like email, facilitate asynchronous communication, which takes place at a person's convenience.\r\nIncreasingly, team collaboration tools have emerged to offer messaging-centric workflows and near-real-time communication. These tools also offer voice and video capabilities, API integrations and, ultimately, expound on instant messaging services by providing better UC features.\r\nThe goal of unified communications is to integrate the software that supports synchronous and asynchronous communication, so the end user has easy access to all tools from whatever device is in use.\r\nA unified communications environment is typically supported by one or more back-end systems, often referred to as UC platforms, that facilitate integration among services, as well as the front-end clients that provide access. For example, a web conferencing system would make use of an audio conferencing system - which, in turn, would be built on an underlying IP telephony platform - and a unified messaging client would allow click-to-talk (CTC), click-to-chat or click-to-video functionality.\r\nUC also supports users moving from one mode of communication to another within the same session. For example, a user may start communicating via email but then decide to escalate the interaction to real-time communication, transitioning the session to a voice call with one click and then to a video conference with another click without any disruption.\r\nUnified communications systems and their components can be deployed on premises, in a public or private cloud, or a combination of all three. Cloud-based unified communications is also called UC as a service (UCaaS). An open source project called WebRTC, for example, enables real-time communications to be embedded into web browsers.\r\nHistorically, single-vendor UC environments have demonstrated the tightest integration and compatibility. Interoperability among vendors remains an ongoing challenge in UC, but it has also been mitigated, in part, by partnerships, common protocols and open APIs.","materialsDescription":" <span style=\"font-weight: bold;\">What technology do unified communications have?</span>\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contrasting unified messaging</span></span>\r\nUnified communications are sometimes confused with unified messaging, but it is distinct. Unified communications refer to both real-time and non-real-time delivery of communications based on the preferred method and location of the recipient; unified messaging culls messages from several sources (such as e-mail, voice mail and faxes), but holds those messages only for retrieval at a later time. Unified communications allow for an individual to check and retrieve an e-mail or voice mail from any communication device at any time. It expands beyond voice mail services to data communications and video services.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Components</span></span>\r\nWith unified communications, multiple modes of business communications are integrated. Unified communications is not a single product but a collection of elements that include:\r\n<ul><li>Call control and multimodal communications</li><li>Presence</li><li>Instant messaging</li><li>Unified messaging</li><li>Speech access and personal assistant</li><li>Conferencing (audio, Web and video)</li><li>Collaboration tools</li><li>Mobility</li><li>Business process integration (BPI)</li><li>Software to enable business process integration</li></ul>\r\nPresence — knowing where intended recipients are, and if they are available, in real-time — is a key component of unified communications. Unified communications integrate all systems a user might already use, and helps those systems work together in real-time. For example, unified communications technology could allow a user to seamlessly collaborate with another person on a project, even if the two users are in separate locations. The user could quickly locate the necessary person by accessing an interactive directory, engage in a text messaging session, and then escalate the session to a voice call or even a video call.\r\nIn another example, an employee receives a call from a customer who wants answers. Unified communications enable that employee to call an expert colleague from a real-time list. This way, the employee can answer the customer faster by eliminating rounds of back-and-forth e-mails and phone-tag.\r\nThe examples in the previous paragraph primarily describe &quot;personal productivity&quot; enhancements that tend to benefit the individual user. While such benefits can be important, enterprises are finding that they can achieve even greater impact by using unified communications capabilities to transform business processes. This is achieved by integrating UC functionality directly into the business applications using development tools provided by many of the suppliers. Instead of the individual user invoking the UC functionality to, say, find an appropriate resource, the workflow or process application automatically identifies the resource at the point in the business activity where one is needed.\r\nWhen used in this manner, the concept of presence often changes. Most people associate presence with instant messaging (IM &quot;buddy lists&quot;) the status of individuals is identified. But, in many business process applications, what is important is finding someone with a certain skill. In these environments, presence identifies available skills or capabilities.\r\nThis &quot;business process&quot; approach to integrating UC functionality can result in bottom-line benefits that are an order of magnitude greater than those achievable by personal productivity methods alone.\r\n<span style=\"font-weight: bold;\">Related concepts</span>\r\nUnified communications &amp; collaboration (UCC) is the integration of various communications methods with collaboration tools such as virtual white boards, real-time audio and video conferencing, and enhanced call control capabilities. Before this fusion of communications and collaboration tools into a single platform, enterprise collaboration service vendors and enterprise communications service vendors offered distinctly different solutions. Now, collaboration service vendors also offer communications services, and communications service providers have developed collaboration tools.\r\nUnified communications &amp; collaboration as a service (UCCaaS) is cloud-based UCC platforms. Compared to premises-based UCC solutions, UCCaaS platforms offer enhanced flexibility and scalability due to the SaaS subscription model.\r\nUnified communications provisioning is the act of entering and configuring the settings for users of phone systems, instant messaging, telepresence, and other collaboration channels. Provisioners refer to this process as making moves, adds, changes, and deletes or MAC-Ds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Unified_Communications.png"},{"id":186,"title":"VoIP - Voice over Internet Protocol","alias":"voip-voice-over-internet-protocol","description":"<span style=\"font-weight: bold;\">Voice over Internet Protocol </span>(Voice over IP, VoIP) is a methodology and group of technologies for the delivery of voice communications and multimedia sessions over Internet Protocol (IP) networks, such as the Internet. Other terms commonly associated with VoIP solutions are IP telephony, Internet telephony, broadband telephony, and broadband phone service.\r\nThe term Internet telephony specifically refers to the provisioning of communications services (voice, fax, SMS, voice-messaging) over the public Internet, rather than via the public switched telephone network (PSTN). The steps and principles involved in originating VoIP telephone calls are similar to traditional digital telephony and involve signaling, channel setup, digitization of the analog voice signals, and encoding.\r\nInstead of being transmitted over a circuit-switched network, however, the digital information is packetized, and transmission occurs as IP packets over a packet-switched network. Such transmission entails careful considerations about resource management different from time-division multiplexing (TDM) networks.\r\n\r\n\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"> What are the benefits of VoIP?</h1>\r\n VoIP technology can facilitate tasks and deliver services that might be cumbersome or costly to implement when using traditional PSTN: \r\n<ul><li>More than one phone call can be transmitted on the same broadband phone line. This way, VoIP system can facilitate the addition of telephone lines to businesses without the need for additional physical lines.</li><li>Features that are usually charged extra by telecommunication companies, such as call forwarding, caller ID or automatic redialing, are simple with voice over internet technology.</li><li>Unified Communications are secured with VoIP technology, as it allows integration with other services available on the internet such as video conversation, messaging, etc. </li></ul>\r\n<h1 class=\"align-center\">VoIP programs </h1>\r\nThere are four main types of VoIP technology. Each option has varying levels of complexity which can impact ease of implementation and maintenance.\r\n <span style=\"font-weight: bold;\">Integrated Access</span>\r\nIntegrated access is the VoIP service that most mimics the traditional phone line. With integrated access VoIP, businesses integrate VoIP software and existing, legacy phone systems. This approach lets the business keep its old number and equipment while also gaining access to advanced telecommunications features. \r\n<span style=\"font-weight: bold;\">SIP Trunks</span>\r\n Session Initial Protocol (SIP) transmits voice and video information across a data network, letting VoIP users take advantage of shared lines and increase their communications flexibility. Because all data is sent over a network, businesses can use SIP trunks to replace traditional analog phone networks or use a VoIP gateway to integrate SIP trunking with legacy phone systems. \r\n<span style=\"font-weight: bold;\">Hosted IP PBX</span>\r\n What most people envision when they think of VoIP, this VoIP solution sees a vendor host and operate the private branch exchange, offering unified communications solutions. The business connects to a hosted cloud-based PBX network via its IP network. Phone system hardware is maintained off-site by the hosted IP PBX vendor, and all responsibility for the hardware, software, maintenance, security and upgrades all falls on the hosted PBX provider. \r\n <span style=\"font-weight: bold;\">Managed IP PBX </span>\r\nSimilar to Hosted IP PBX, this version of the unified communication solution is outsourced to a third party that takes care of all management requirements, but instead of phone hardware being off-site, the equipment is housed on-premise by the business. \r\nUnderstanding these different services of VoIP communication can help a business determine the system that best suits its needs. SIP Trunks, for instance, are more attractive to those who want to install their own technology and manage it themselves, while still connecting to VoIP features.\r\n On the other hand, managed IP PBX is a good option for those who don’t have the resources to buy and operate their own VoIP systems. The Hosted IP PBX solution frees the business to select the VoIP management software that works for them and liberates them from the cost and administrative headache of maintaining both voice and data lines and the related carrier partnerships. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/VoIP_-_Voice_over_Internet_Protocol.png"},{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1458,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png","logo":true,"scheme":false,"title":"eepNLUStudio® - Developer Tools","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"eepnlustudior-developer-tools","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"Способность развивать\r\nС помощью deepNLUStudio® вы можете создавать, управлять и редактировать диалоговые сценарии в течение нескольких минут, а также создавать расширенные диалоги для управления потоком беседы с клиентами.","shortDescription":"Создавайте уникальные приложения для естественного языка для обслуживания клиентов с использованием очень привлекательных пользовательских впечатлений и человекоподобных диалоговых взаимодействий.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":5,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"eepNLUStudio® - Developer Tools","keywords":"создавать, eepNLUStudio®, беседы, потоком, управления, диалоги, расширенные, также","description":"Способность развивать\r\nС помощью deepNLUStudio® вы можете создавать, управлять и редактировать диалоговые сценарии в течение нескольких минут, а также создавать расширенные диалоги для управления потоком беседы с клиентами.","og:title":"eepNLUStudio® - Developer Tools","og:description":"Способность развивать\r\nС помощью deepNLUStudio® вы можете создавать, управлять и редактировать диалоговые сценарии в течение нескольких минут, а также создавать расширенные диалоги для управления потоком беседы с клиентами.","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png"},"eventUrl":"","translationId":7096,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1459,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png","logo":true,"scheme":false,"title":"DiaManT® Sentiment Analysis - Business Insights","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"diamantr-sentiment-analysis-business-insights","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"DiaManT® Sentiment Analysis сочетает в себе как акустические характеристики голоса клиента, так и то, что они говорят на естественном языке, для определения положительных, отрицательных или нейтральных чувств. Наблюдайте за драйверами за измеримыми оценками настроений клиентов и обнаруживайте и улучшайте репутацию бренда и получаете представление о настройках клиентов на услуг, продуктов, кампаний или других тем.\r\nИзмерить чувства и эмоции в разных сечениях вызовов, групп агентов и временных рамок.","shortDescription":"Воспользуйтесь прозрачностью 100% эффективности работы вашего виртуального агента и используйте большие данные, созданные DiaManT® для постоянного улучшения","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":11,"sellingCount":17,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DiaManT® Sentiment Analysis - Business Insights","keywords":"DiaManT®, Sentiment, клиентов, Analysis, обнаруживайте, настройках, репутацию, бренда","description":"DiaManT® Sentiment Analysis сочетает в себе как акустические характеристики голоса клиента, так и то, что они говорят на естественном языке, для определения положительных, отрицательных или нейтральных чувств. Наблюдайте за драйверами за измеримыми оценками на","og:title":"DiaManT® Sentiment Analysis - Business Insights","og:description":"DiaManT® Sentiment Analysis сочетает в себе как акустические характеристики голоса клиента, так и то, что они говорят на естественном языке, для определения положительных, отрицательных или нейтральных чувств. Наблюдайте за драйверами за измеримыми оценками на","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png"},"eventUrl":"","translationId":7097,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":750,"title":"Biometric Identification","alias":"biometric-identification","description":"<p itemprop=\"headline\">Biometric systems use people’s intrinsic physical characteristics to verify their identification. The characteristics that can be used by biometric systems include fingerprints, facial identification systems, voice recognition systems and in new developments – the analysis of DNA. Biometric security systems are applied wherever there is a need for personal identification where control of access to material objects or information is required.</p>\r\n<p itemprop=\"headline\" class=\"align-center\"><span style=\"font-weight: bold; \">Types of biometric identification</span></p>\r\n<ul><li><span style=\"font-weight: bold; \">DNA Matching.</span> The identification of an individual using the analysis of segments from DNA.</li><li><span style=\"font-weight: bold; \">Ear.</span> The identification of an individual using the shape of the ear.</li><li><span style=\"font-weight: bold; \">Eyes - Iris Recognition.</span> The use of the features found in the iris to identify an individual.</li><li><span style=\"font-weight: bold; \">Eyes - Retina Recognition.</span> The use of patterns of veins in the back of the eye to accomplish recognition.</li><li><span style=\"font-weight: bold; \">Face Recognition. </span>The analysis of facial features or patterns for the authentication or recognition of an individuals identity. Most face recognition systems either use eigenfaces or local feature analysis.</li><li><span style=\"font-weight: bold; \">Fingerprint Recognition.</span> The use of the ridges and valleys (minutiae) found on the surface tips of a human finger to identify an individual.</li><li><span style=\"font-weight: bold; \">Finger Geometry Recognition.</span> The use of 3D geometry of the finger to determine identity.</li><li><span style=\"font-weight: bold; \">Gait.</span> The use of an individuals walking style or gait to determine identity.</li><li><span style=\"font-weight: bold; \">Odour. </span>The use of an individuals odor to determine identity.</li><li><span style=\"font-weight: bold; \">Hand Geometry Recognition. </span>The use of the geometric features of the hand such as the lengths of fingers and the width of the hand to identify an individual.</li><li><span style=\"font-weight: bold; \">Typing Recognition. </span>The use of the unique characteristics of a persons typing for establishing identity.</li><li><span style=\"font-weight: bold; \">Hand Vein Recognition. </span>Vein recognition is a type of biometrics that can be used to identify individuals based on the vein patterns in the human finger or palm.</li><li><span style=\"font-weight: bold; \">Voice - Speaker Identification. </span>Identification is the task of determining an unknown speaker’s identity. Speaker identification is a 1:N (many) match where the voice is compared against N templates. Speaker identification systems can also be implemented covertly without the user’s knowledge to identify talkers in a discussion, alert automated systems of speaker changes, check if a user is already enrolled in a system, etc.</li><li><span style=\"color: rgb(97, 97, 97); \"><span style=\"font-weight: bold; \">Voice - Speaker Verification/Authentication.</span>The use of the voice as a method of determining the identity of a speaker for access control. If the speaker claims to be of a certain identity and the voice is used to verify this claim. Speaker verification is a 1:1 match where one speaker’s voice is matched to one template (also called a “voice print” or “voice model”). Speaker verification is usually employed as a “gatekeeper” in order to provide access to a secure system (e.g.: telephone banking). These systems operate with the user’s knowledge and typically require their cooperation.</span></li><li> <span style=\"font-weight: bold; \">Signature Recognition.</span> The authentication of an individual by the analysis of handwriting style, in particular the signature. There are two key types of digital handwritten signature authentication, Static and Dynamic. Static is most often a visual comparison between one scanned signature and another scanned signature, or a scanned signature against an ink signature. Technology is available to check two scanned signatures using advances algorithms. Dynamic is becoming more popular as ceremony data is captured along with the X,Y,T and P Coordinates of the signor from the signing device. This data can be utilised in a court of law using digital forensic examination tools, and to create a biometric template from which dynamic signatures can be authenticated either at time of signing or post signing, and as triggers in workflow processes.</li></ul>\r\n<br /><br />","materialsDescription":"<h1 class=\"align-center\"> Biometric Identification or Biometric Authentication?<span style=\"font-weight: bold; \"><br /></span></h1>\r\n<span style=\"font-weight: bold; \">Biometric identification</span> answers the question “who are you” and can be applied to both physical and digital scenarios. It is an established solution that is being used in many applications including law enforcement, defense, and border control.\r\nBiometric identification system usually applies to a situation where an organization needs to identify a person. The organization captures a biometric from that individual and then searches a biometric id system repository in an attempt to correctly identify the person. The biometric repository could be managed by a law enforcement agency, such as the Integrated Automated Fingerprint System (IAFIS) run by the FBI in the USA, or be part of a national identity system like India’s UIDAI system.\r\n<span style=\"font-weight: bold; \">Biometric authentication </span>asks the question “can you prove who you are” and is predominantly related to proof of identity in digital scenarios. A <span style=\"font-size:10pt; font-family:Arial; font-style:normal; \">biometric identity verification</span>system will challenge someone to prove their identity and the person has to respond in order to allow them access to a system or service.\r\nBiometric authentication involves use of a factor that is something a person is – a biometric identifier from a person can include a fingerprint, their voice, face, or even their behavior. This biometric is indexed against other identifiers, such as a user id or employee number, with the identifier being matched against a single stored biometric template – one-to-one match.\r\n<h1 class=\"align-center\">Where is biometric identification technology used?</h1>\r\nHistorically, applications using have been predominantly initiated by authorities for military access control, criminal or civil identification under a tightly regulated legal and technical framework. \r\nToday, sectors, including banking, retail, and mobile commerce, are demonstrating a real appetite for the benefits of biometric identity systems.<br />Most importantly, awareness and acceptance have been boosted in the past seven years, as millions of smartphone users are unlocking their phones with a fingerprint or a face. The most typical use cases of biometric technologies are:\r\n<ul><li>Law enforcement and public security (criminal/suspect identification)</li><li>Military (enemy/ally identification)</li><li>Border, travel, and migration control (traveler/migrant/passenger identification)</li><li>Civil identification (citizen/resident/voter identification)</li><li>Healthcare and subsidies (patient/beneficiary/healthcare professional identification)</li><li>Physical and logical access (owner/user/employee/contractor/partner identification)</li><li>Commercial applications (consumer/customer identification)</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Biometric_Identification.png"},{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1461,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png","logo":true,"scheme":false,"title":"Голосовая биометрия DiaManT®","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"golosovaja-biometrija-diamantr","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"Клиенты свободно говорят в разговоре на естественном языке с DiaManT®, в то время как deepVB® использует биометрические функции голосовой печати для аутентификации клиентов в фоновом режиме, поскольку они говорят\r\n<ul><li>Аутентификация вызывающего абонента внутри IVR</li><li>Нет необходимости в специальной парольной фразе</li><li>Нет необходимости в активной проверке подлинности</li><li>Уменьшает время ожидания Live-Agent-Talk-Time</li><li>Интегрирует голосовую биометрию + вопросы безопасности</li></ul>\r\nКак работает deepVB®\r\nАутентификация пользователя выполняется в режиме реального времени в фоновом режиме с помощью подсчета соответствия голосовой печати динамиков, с первого шага диалога и на каждом шаге до разговора.\r\n\r\nПосле того, как пользователь начнет звонок с DiaManT® ...\r\ndeepASR® отображает голос говорящего, и, если имеется достаточное количество аудио , он вычисляет речевую запись динамика в реальном времени\r\nDiaManT® сравнивает текущую голосовую запись динамика с проверенной речевой записью, хранящейся в базе данных\r\nСравнение дает результат проверки в виде «показателя достоверности bioSV»,\r\nПоказатель&nbsp;достоверности&nbsp;bioSV используется DiaManT® для ведения беседы с клиентом в соответствии с бизнес-логикой; предоставлять самообслуживание, передавать живому агенту или задавать дополнительные традиционные вопросы безопасности","shortDescription":"Голосовая биометрия DiaManT® - пассивная голосовая биометрия IVR ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":5,"sellingCount":20,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Голосовая биометрия DiaManT®","keywords":"DiaManT®, режиме, необходимости, вопросы, безопасности, времени, Аутентификация, динамика","description":"Клиенты свободно говорят в разговоре на естественном языке с DiaManT®, в то время как deepVB® использует биометрические функции голосовой печати для аутентификации клиентов в фоновом режиме, поскольку они говорят\r\n<ul><li>Аутентификация вызывающего абонента вн","og:title":"Голосовая биометрия DiaManT®","og:description":"Клиенты свободно говорят в разговоре на естественном языке с DiaManT®, в то время как deepVB® использует биометрические функции голосовой печати для аутентификации клиентов в фоновом режиме, поскольку они говорят\r\n<ul><li>Аутентификация вызывающего абонента вн","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png"},"eventUrl":"","translationId":7098,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":750,"title":"Biometric Identification","alias":"biometric-identification","description":"<p itemprop=\"headline\">Biometric systems use people’s intrinsic physical characteristics to verify their identification. The characteristics that can be used by biometric systems include fingerprints, facial identification systems, voice recognition systems and in new developments – the analysis of DNA. Biometric security systems are applied wherever there is a need for personal identification where control of access to material objects or information is required.</p>\r\n<p itemprop=\"headline\" class=\"align-center\"><span style=\"font-weight: bold; \">Types of biometric identification</span></p>\r\n<ul><li><span style=\"font-weight: bold; \">DNA Matching.</span> The identification of an individual using the analysis of segments from DNA.</li><li><span style=\"font-weight: bold; \">Ear.</span> The identification of an individual using the shape of the ear.</li><li><span style=\"font-weight: bold; \">Eyes - Iris Recognition.</span> The use of the features found in the iris to identify an individual.</li><li><span style=\"font-weight: bold; \">Eyes - Retina Recognition.</span> The use of patterns of veins in the back of the eye to accomplish recognition.</li><li><span style=\"font-weight: bold; \">Face Recognition. </span>The analysis of facial features or patterns for the authentication or recognition of an individuals identity. Most face recognition systems either use eigenfaces or local feature analysis.</li><li><span style=\"font-weight: bold; \">Fingerprint Recognition.</span> The use of the ridges and valleys (minutiae) found on the surface tips of a human finger to identify an individual.</li><li><span style=\"font-weight: bold; \">Finger Geometry Recognition.</span> The use of 3D geometry of the finger to determine identity.</li><li><span style=\"font-weight: bold; \">Gait.</span> The use of an individuals walking style or gait to determine identity.</li><li><span style=\"font-weight: bold; \">Odour. </span>The use of an individuals odor to determine identity.</li><li><span style=\"font-weight: bold; \">Hand Geometry Recognition. </span>The use of the geometric features of the hand such as the lengths of fingers and the width of the hand to identify an individual.</li><li><span style=\"font-weight: bold; \">Typing Recognition. </span>The use of the unique characteristics of a persons typing for establishing identity.</li><li><span style=\"font-weight: bold; \">Hand Vein Recognition. </span>Vein recognition is a type of biometrics that can be used to identify individuals based on the vein patterns in the human finger or palm.</li><li><span style=\"font-weight: bold; \">Voice - Speaker Identification. </span>Identification is the task of determining an unknown speaker’s identity. Speaker identification is a 1:N (many) match where the voice is compared against N templates. Speaker identification systems can also be implemented covertly without the user’s knowledge to identify talkers in a discussion, alert automated systems of speaker changes, check if a user is already enrolled in a system, etc.</li><li><span style=\"color: rgb(97, 97, 97); \"><span style=\"font-weight: bold; \">Voice - Speaker Verification/Authentication.</span>The use of the voice as a method of determining the identity of a speaker for access control. If the speaker claims to be of a certain identity and the voice is used to verify this claim. Speaker verification is a 1:1 match where one speaker’s voice is matched to one template (also called a “voice print” or “voice model”). Speaker verification is usually employed as a “gatekeeper” in order to provide access to a secure system (e.g.: telephone banking). These systems operate with the user’s knowledge and typically require their cooperation.</span></li><li> <span style=\"font-weight: bold; \">Signature Recognition.</span> The authentication of an individual by the analysis of handwriting style, in particular the signature. There are two key types of digital handwritten signature authentication, Static and Dynamic. Static is most often a visual comparison between one scanned signature and another scanned signature, or a scanned signature against an ink signature. Technology is available to check two scanned signatures using advances algorithms. Dynamic is becoming more popular as ceremony data is captured along with the X,Y,T and P Coordinates of the signor from the signing device. This data can be utilised in a court of law using digital forensic examination tools, and to create a biometric template from which dynamic signatures can be authenticated either at time of signing or post signing, and as triggers in workflow processes.</li></ul>\r\n<br /><br />","materialsDescription":"<h1 class=\"align-center\"> Biometric Identification or Biometric Authentication?<span style=\"font-weight: bold; \"><br /></span></h1>\r\n<span style=\"font-weight: bold; \">Biometric identification</span> answers the question “who are you” and can be applied to both physical and digital scenarios. It is an established solution that is being used in many applications including law enforcement, defense, and border control.\r\nBiometric identification system usually applies to a situation where an organization needs to identify a person. The organization captures a biometric from that individual and then searches a biometric id system repository in an attempt to correctly identify the person. The biometric repository could be managed by a law enforcement agency, such as the Integrated Automated Fingerprint System (IAFIS) run by the FBI in the USA, or be part of a national identity system like India’s UIDAI system.\r\n<span style=\"font-weight: bold; \">Biometric authentication </span>asks the question “can you prove who you are” and is predominantly related to proof of identity in digital scenarios. A <span style=\"font-size:10pt; font-family:Arial; font-style:normal; \">biometric identity verification</span>system will challenge someone to prove their identity and the person has to respond in order to allow them access to a system or service.\r\nBiometric authentication involves use of a factor that is something a person is – a biometric identifier from a person can include a fingerprint, their voice, face, or even their behavior. This biometric is indexed against other identifiers, such as a user id or employee number, with the identifier being matched against a single stored biometric template – one-to-one match.\r\n<h1 class=\"align-center\">Where is biometric identification technology used?</h1>\r\nHistorically, applications using have been predominantly initiated by authorities for military access control, criminal or civil identification under a tightly regulated legal and technical framework. \r\nToday, sectors, including banking, retail, and mobile commerce, are demonstrating a real appetite for the benefits of biometric identity systems.<br />Most importantly, awareness and acceptance have been boosted in the past seven years, as millions of smartphone users are unlocking their phones with a fingerprint or a face. The most typical use cases of biometric technologies are:\r\n<ul><li>Law enforcement and public security (criminal/suspect identification)</li><li>Military (enemy/ally identification)</li><li>Border, travel, and migration control (traveler/migrant/passenger identification)</li><li>Civil identification (citizen/resident/voter identification)</li><li>Healthcare and subsidies (patient/beneficiary/healthcare professional identification)</li><li>Physical and logical access (owner/user/employee/contractor/partner identification)</li><li>Commercial applications (consumer/customer identification)</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Biometric_Identification.png"},{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1462,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png","logo":true,"scheme":false,"title":"DNN Speech Recognition - deepASR®","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"dnn-speech-recognition-deepasrr","companyTitle":"Omilia","companyTypes":["supplier","vendor"],"companyId":3998,"companyAlias":"omilia-conversational-intelligence","description":"Благодаря запатентованному методу обучения и настройки Omilia, deepASR® способен достичь уровня ошибок Word Error Rates менее половины действующих поставщиков услуг.\r\nДля всех основных языков Omilia предлагает адаптированные акустические и языковые модели, которые охватывают акценты и диалектические вариации внутри страны.","shortDescription":"Сегодня наш движок отличается распознанием 11 языков, включая английский (США, Канада, Великобритания и Южная Африка), испанский, русский, польский, румынский, казахский, украинский и греческий.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"DNN Speech Recognition - deepASR®","keywords":"Omilia, deepASR®, всех, основных, языков, предлагает, адаптированные, акустические","description":"Благодаря запатентованному методу обучения и настройки Omilia, deepASR® способен достичь уровня ошибок Word Error Rates менее половины действующих поставщиков услуг.\r\nДля всех основных языков Omilia предлагает адаптированные акустические и языковые модели, кот","og:title":"DNN Speech Recognition - deepASR®","og:description":"Благодаря запатентованному методу обучения и настройки Omilia, deepASR® способен достичь уровня ошибок Word Error Rates менее половины действующих поставщиков услуг.\r\nДля всех основных языков Omilia предлагает адаптированные акустические и языковые модели, кот","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Omilia.png"},"eventUrl":"","translationId":7099,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":752,"title":"Voice Recognition","alias":"voice-recognition","description":"<span style=\"font-weight: bold;\">Voice</span> or <span style=\"font-weight: bold;\">speaker recognition </span>is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana.<br />Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.\r\n<span style=\"font-weight: bold;\">Voice recognition technology on computers</span> requires that analog audio be converted into digital signals, known as analog-to-digital conversion. For a computer to decipher a signal, it must have a digital database, or vocabulary, of words or syllables, as well as a speedy means for comparing this data to signals. The speech patterns are stored on the hard drive and loaded into memory when the program is run. A comparator checks these stored patterns against the output of the A/D converter - an action called pattern recognition.\r\nIn practice, the size of a speech recognition system effective vocabulary is directly related to the random access memory capacity of the computer in which it is installed. A voice recognition program runs many times faster if the entire vocabulary can be loaded into RAM, as compared with searching the hard drive for some of the matches. \r\nWhile <span style=\"font-weight: bold;\">voice recognition technology </span>originated on PCs, it has gained acceptance in both business and consumer spaces <span style=\"font-weight: bold;\">on mobile devices and in home assistant products</span>. The popularity of smartphones opened up the opportunity to add voice recognition technology into consumer pockets, while home devices, like Google Home and Amazon Echo, brought voice recognition technology into living rooms and kitchens. Voice recognition, combined with the growing stable of internet of things sensors, has added a technological layer to many consumer products that previously lacked any smart capabilities.\r\nAs<span style=\"font-weight: bold;\"> uses for voice recognition technology</span> grow and more users interact with it, the companies implementing speak recognition software will have more data and information to feed into the neural networks that power voice recognition systems, thus improving the capabilities and accuracy of the automatic speech recognition products.<br />The uses for voice recognition have grown quickly as AI, machine learning and consumer acceptance have matured. In-home digital assistants from Google to Amazon to Apple have all implemented voice recognition software to interact with users. The way <span style=\"font-weight: bold;\">consumers use voice recognition technology</span> varies depending on the product, but it can include transcribing speech to text converter, setting up reminders, searching the internet, and responding to simple questions and requests, such as playing music or sharing weather or traffic information.\r\nThe government is also looking for ways to use voice recognition technology and voice identification for security purposes. The National Security Agency (the official U.S. cryptologic organization of the United States Intelligence Community under the Department of Defense) has used voice recognition systems dating back to 2004.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What is voice recognition?</span></h1>\r\n<p class=\"align-left\">Voice recognition is an alternative to typing on a keyboard. Put simply, you talk to the computer and your words appear on the screen. The software has been developed to provide a fast method of writing on a computer and can help people with a variety of disabilities. It is useful for people with physical disabilities who often find typing difficult, painful or impossible. Voice-recognition software can also help those with spelling difficulties, including users with dyslexia, because recognised words are almost always correctly spelled.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is voice recognition software?</span></h1>\r\n<p class=\"align-left\">Voice-recognition software programmes work by analysing sounds and converting them to text. Once correctly set up, the systems should recognise around 95% of what is said if you speak clearly. Several programmes are available that provide computer speech recognition. These systems have mostly been designed for Windows operating systems, however programmes are also available for Mac OS X. In addition to third-party software, there are also voice-recognition programmes built in to the operating systems of Windows Vista and Windows 7, 8, 10. Most specialist voice applications include the software, a microphone headset, a manual and a quick reference card. You connect the microphone to the computer, either into the soundcard or via a USB or similar connection.</p>\r\n<header><h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the types of speech recognition?</span></h1></header>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">There are two types of speech recognition.</span> One is called speaker–dependent and the other is speaker–independent. Speaker–dependent software is commonly used for dictation software, while speaker–independent software is more commonly found in telephone applications.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–dependent</span> software works by learning the unique characteristics of a single person's voice, in a way similar to voice recognition. New users must first &quot;train&quot; the voice recognition systems product by speaking to it, so the computer can analyze how the person talks. This often means users have to read a few pages of text to the computer before they can use the voice recogniser.<span style=\"font-weight: bold;\"></span></p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Speaker–independent</span> software is designed to recognize anyone's voice, so no training is involved. This means it is the only real option for applications such as interactive voice response systems — where businesses can't ask callers to read pages of text before using the system. The downside is that speaker–independent software is generally less accurate than speaker–dependent software.</p>\r\n<p class=\"align-left\">Voice recognition engines that are speaker independent generally deal with this fact by limiting the grammars they use. By using a smaller list of recognized words, the speech engine is more likely to correctly recognize what a speaker said.</p>\r\n<p class=\"align-left\">This makes speaker–independent software ideal for most IVR systems, and any application where a large number of people will be using the same system. Speaker dependent software is used more widely in dictation software, where only one person will use the system and there is a need for a large grammar.</p>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What are the voice recognition applications?</span></h1>\r\n<p class=\"align-left\">The technology is gaining popularity in many areas and has been successful in the following:</p>\r\n<ul><li><span style=\"font-weight: bold;\">Device control. </span>Just saying &quot;OK Google&quot; to an Android phone fires up a system that is all ears to your voice commands.</li><li><span style=\"font-weight: bold;\">Car Bluetooth systems.</span> Many cars are equipped with a system that connects its radio mechanism to your smartphone through Bluetooth. You can then make and receive calls without touching your smartphone, and can even dial numbers by just saying them.</li><li><span style=\"font-weight: bold;\">Voice to speech transcription.</span> In areas where people have to type a lot, some intelligent software captures their spoken words and transcribe them into text. This is current in the certain word processing software. Voice transcription also works with visual voicemail.</li></ul>\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">What is dictation software?</span></h1>\r\n<p class=\"align-left\"></p>\r\nWith the best dictation software, you can compose memos, emails, speeches, and other writing using voice translator speech to text. Some dictation apps also give you the power to control your computer or mobile device with spoken words, too, letting you open apps and navigate the web when you aren't able to or don't want to with your fingers. \r\n<p class=\"align-left\">Dictation apps have a variety of use cases. They're well known among the accessibility community, as not everyone has full and dexterous use of their fingers and hands for typing, moving a mouse, or tapping a touchscreen. They're also quite popular with productivity enthusiasts because once you get comfortable dictating, it's typically faster than typing. Dictating also enables multitasking. You can write while walking, cooking, or even breastfeeding.</p>\r\n<p class=\"align-left\">Some people also find that writing by dictating silences their internal editor. You might be more inclined to get all your thoughts out first and review them later, rather than revising ideas as you form them.</p>\r\n<p class=\"align-left\">In the last few years, dictation software has become more readily available, easier to use, and much less expensive. Also sometimes called voice-to-text apps or voice recognition apps, these tools turn your spoken words into writing on the screen quickly and accurately. </p>\r\n<p class=\"align-left\">Some best voice recognition software are standalone software programs while others are features that come inside other apps or operating systems. Take Google Docs Voice Typing, for example. It's a feature inside Google Docs, rather than a standalone app. You can use it to write in Google Docs as well as edit and format your text.<br /><br /><br /></p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Voice_Recognition.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":974,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Adaptive_Intelligent_Apps.jpg","logo":true,"scheme":false,"title":"Oracle Adaptive Intelligent Apps","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-adaptive-intelligent-apps","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"<span style=\"font-weight: bold;\">Adaptive Intelligent Apps Characteristics</span>\r\n<span style=\"font-weight: bold;\">Data and Context-Driven</span>\r\nProcess enormous amounts of web-scale data in real-time and synthesizes context to deliver the best and most personalized outcomes.\r\n<span style=\"font-weight: bold;\">Action-Oriented and Omni-Channel</span>\r\nAnticipate user behaviors and deliver actionable and individualized outcomes. Data and events are tracked from everywhere so recommendations are coordinated across channels.\r\n<span style=\"font-weight: bold;\">Continuously Adaptive and Self-Learning</span>\r\nContinuously improves outcomes as the system reacts, learns and adapts. There is a value exchange between the end user and the adaptive intelligent app—the more the end user interacts, the more value they receive.\r\n<span style=\"font-weight: bold;\">Built for Business Users</span>\r\nImmediate value out of the box, with no need for a legion of data scientists!\r\n<span style=\"font-weight: bold;\">Adaptive</span>\r\nLearn from your behavior and &quot;others like you&quot; in the moment.\r\nReact, change, and adapt based on continued use—click by click.\r\nDeliver increasingly relevant and optimized outcomes in real-time.\r\n<span style=\"font-weight: bold;\">Intelligent</span>\r\nProcess and derive insights from web-scale 3rd-party data.\r\nSynthesize context: weather, life events, real-time actions, social activity, and much more.\r\nIdentify and serve up—in real-time—the best individualized outcomes.","shortDescription":"Oracle Adaptive Intelligent Apps Add New Business Value to CX, HCM, SCM, and ERP\r\nAdaptive Intelligent Apps are uniquely powered by enormous amounts of digital consumer and business data from Oracle’s Data Cloud, sophisticated decision science/machine learning, and a scalable cloud infrastructure","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":10,"sellingCount":2,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Adaptive Intelligent Apps","keywords":"outcomes, Adaptive, from, data, value, more, user, real-time","description":"<span style=\"font-weight: bold;\">Adaptive Intelligent Apps Characteristics</span>\r\n<span style=\"font-weight: bold;\">Data and Context-Driven</span>\r\nProcess enormous amounts of web-scale data in real-time and synthesizes context to deliver the best and most per","og:title":"Oracle Adaptive Intelligent Apps","og:description":"<span style=\"font-weight: bold;\">Adaptive Intelligent Apps Characteristics</span>\r\n<span style=\"font-weight: bold;\">Data and Context-Driven</span>\r\nProcess enormous amounts of web-scale data in real-time and synthesizes context to deliver the best and most per","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Adaptive_Intelligent_Apps.jpg"},"eventUrl":"","translationId":975,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":283,"title":"Content Analytics, Discovery, and Cognitive Software","alias":"content-analytics-discovery-and-cognitive-software","description":"<span style=\"font-weight: bold; \">Content Analytics</span> comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. <span style=\"font-weight: bold; \">Content analytics software</span> uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company's unstructured data.\r\n<span style=\"font-weight: bold; \">Discovery tools</span> are the search tools that analyse contents for its likely relevancy to a process, by linking names, time periods or terms used. Discovery tools can also extend to legal hold and partitioning of content for further scrutiny. Various types of discovery tools include search engines, auto-categorization, and information visualization tools.\r\n<span style=\"font-weight: bold;\">Cognitive computing software</span> makes context computable by identifying and extracting context features such as hour, location, task, history or profile in structured way for an individual or an application engaged in a specific process at definite time and place. Cognitive computing technologies and platforms includes expert assistance software.\r\n<span style=\"font-weight: bold;\">Content Analytics, Discovery and Cognitive Systems,</span> collectively covers the market and technologies that access, analyse, organize, and provides advisory services related to a range of unstructured data. Cognitive systems leverages large amounts of structured and unstructured data and content analytics tools, along with several infrastructure technologies to answer questions, provide recommendations and directions. ","materialsDescription":"<h1 class=\"align-center\">What are Content Analytics?</h1>\r\nContent analytics is one way that brands can measure the success of their digital content; it involves analyzing data from both inbound and outbound collateral to figure out what’s working and what’s not. After all, no one wants to spend hundreds or even thousands of dollars on content that isn’t resonating.\r\nIt should come as no surprise, then, that 75 percent of enterprises think content analytics can provide real business insight: What are your customers most interested in reading about? What format generates the most engagement? You can use answers to these questions to help you decide what content you should be producing, how to present it (quiz, paid ad, slideshow, blog post, etc.), and where/when to post it for the best results. If utilized correctly, content analytics can offer brands a way to build customer loyalty and boost revenue.\r\nAdvanced content analytics strategies should help you to look beyond the numbers and to focus on taking action. Content analytics is not a mirror reflecting how your company’s content is performing; rather, it is but one tool that can help steer you towards actionable solutions and more effective content choices.\r\nMetrics provided by content analytics, and the actions you take based off that data, can help you optimize conversion rates. In addition to tweaking your content strategy, you can also build a conversion optimization strategy by testing calls-to-action (CTAs), headlines, subscription forms, etc.\r\n<h1 class=\"align-center\"><span style=\"font-weight: bold; \">What are the features of a cognitive computing solution?</span></h1>\r\nWith the present state of cognitive function computing, basic solution can play an excellent role of an assistant or virtual advisor. Siri, Google assistant, Cortana, and Alexa are good examples of personal assistants. Virtual advisor such as Dr. AI by HealthTap is a cognitive solution. It relies on individual patients’ medical profiles and knowledge gleaned from 105,000 physicians. It compiles a prioritized list of the symptoms and connects to a doctor if required. Now, experts are working on implementing cognitive solutions in enterprise systems. Some use cases are fraud detection using machine learning, predictive analytics solution, predicting oil spills in Oil and Gas production cycle etc.\r\nThe purpose of cognitive computing is the creation of computing frameworks that can solve complicated problems without constant human intervention. In order to implement cognitive function computing in commercial and widespread applications, Cognitive Computing consortium has recommended the following features for the computing systems:\r\n<span style=\"font-weight: bold; \">Adaptive.</span>This is the first step in making a machine learning based cognitive system. The solutions should mimic the ability of the human brain to learn and adapt from the surroundings. The systems can’t be programmed for an isolated task. It needs to be dynamic in data gathering, understanding goals, and requirements.\r\n<span style=\"font-weight: bold; \">Interactive.</span>Similar to brain the cognitive solution must interact with all elements in the system – processor, devices, cloud services and user. Cognitive systems should interact bi-directionally. It should understand human input and provide relevant results using natural language processing and deep learning. Some skilled intelligent chatbots such as Mitsuku have already achieved this feature.\r\n<span style=\"font-weight: bold; \">Iterative and stateful.</span>The system should “remember” previous interactions in a process and return information that is suitable for the specific application at that point in time. It should be able to define the problem by asking questions or finding an additional source. This feature needs a careful application of the data quality and validation methodologies in order to ensure that the system is always provided with enough information and that the data sources it operates on to deliver reliable and up-to-date input.\r\n<span style=\"font-weight: bold; \">Contextual.</span>They must understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task, and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided). 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