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The term voice recognition [3] [4] [5] or speaker identification [6] [7] [8] refers to identifying the speaker, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on a specific person's voice or it can be used to authenticate or verify the identity of a speaker ...
VoiceXML documents are interpreted by a voice browser and in common deployment architectures, users interact with voice browsers via the public switched telephone network (PSTN). The VoiceXML document format is based on Extensible Markup Language (XML). It is a standard developed by the World Wide Web Consortium (W3C).
Speaker recognition systems fall into two categories: text-dependent and text-independent. [10] Text-dependent recognition requires the text to be the same for both enrollment and verification. [11] In a text-dependent system, prompts can either be common across all speakers (e.g. a common pass phrase) or unique.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
Google launches the Voice Search app for the iPhone, bringing speech recognition technology to mobile devices. [11] 2011: October 4: Invention: Apple announces Siri, a digital personal assistant. In addition to being able to recognize speech, Siri is able to understand the meaning of what it is told and take appropriate action. [12] 2014: April ...
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With Windows Vista voice control, a user may dictate documents and emails in mainstream applications, start and switch between applications, control the operating system, format documents, save documents, edit files, efficiently correct errors, and fill out forms on the Web. The speech recognition software learns automatically every time a user ...