speech recognition - meaning and definition. What is speech recognition
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What (who) is speech recognition - definition


Speech recognition         
AUTOMATIC CONVERSION OF SPOKEN LANGUAGE INTO TEXT
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Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT).
speech recognition         
AUTOMATIC CONVERSION OF SPOKEN LANGUAGE INTO TEXT
Voice Tag; Speech Recognition; Automatic speech recognition; Speech to text; Speech-recognition; Speech-to-text; Automatic Speech Recognition; Computer speech recognition; Spoken word recognition; Speech recognizer; Automatic speech recognizer; Voice to text; Voice-to-text; Voice recognition software; Voice dialing; Voice command; Speech to Text; Speech-to-Text; Voice typing; Speech recognition technology; Voice Command; Voice Recognition Command System; Speech recognition software; Automated speech recognition; Speech recognition software in healthcare; Speach to text; SpeechTEK; Speech understanding; Applications of speech recognition; History of speech recognition software; History of speech recognition; End-to-end automatic speech recognition; Phoneme recognition; DeepSpeech; Voice dictation; Dictation software; Military applications of speech recognition
¦ noun the process of enabling a computer to identify and respond to the sounds produced in human speech.
speech recognition         
AUTOMATIC CONVERSION OF SPOKEN LANGUAGE INTO TEXT
Voice Tag; Speech Recognition; Automatic speech recognition; Speech to text; Speech-recognition; Speech-to-text; Automatic Speech Recognition; Computer speech recognition; Spoken word recognition; Speech recognizer; Automatic speech recognizer; Voice to text; Voice-to-text; Voice recognition software; Voice dialing; Voice command; Speech to Text; Speech-to-Text; Voice typing; Speech recognition technology; Voice Command; Voice Recognition Command System; Speech recognition software; Automated speech recognition; Speech recognition software in healthcare; Speach to text; SpeechTEK; Speech understanding; Applications of speech recognition; History of speech recognition software; History of speech recognition; End-to-end automatic speech recognition; Phoneme recognition; DeepSpeech; Voice dictation; Dictation software; Military applications of speech recognition
<application> (Or voice recognition) The identification of spoken words by a machine. The spoken words are digitised (turned into sequence of numbers) and matched against coded dictionaries in order to identify the words. Most systems must be "trained," requiring samples of all the actual words that will be spoken by the user of the system. The sample words are digitised, stored in the computer and used to match against future words. More sophisticated systems require voice samples, but not of every word. The system uses the voice samples in conjunction with dictionaries of larger vocabularies to match the incoming words. Yet other systems aim to be "speaker-independent", i.e. they will recognise words in their vocabulary from any speaker without training. Another variation is the degree with which systems can cope with connected speech. People tend to run words together, e.g. "next week" becomes "neksweek" (the "t" is dropped). For a voice recognition system to identify words in connected speech it must take into account the way words are modified by the preceding and following words. It has been said (in 1994) that computers will need to be something like 1000 times faster before large vocabulary (a few thousand words), speaker-independent, connected speech voice recognition will be feasible. (1995-05-05)
Examples of use of speech recognition
1. Speech recognition IBM of Armonk, New York, has long been developing speech recognition and translation technology for use in commercial, consumer and military applications.
2. Japanese research has potential in computer security, speech recognition and graphics, he told reporters at a Tokyo hotel.
3. Meanwhile, new forces –– ubiquitous wireless connections, speech recognition, the digitization of photography –– add juice to the party.
4. Also introduced at the symposium were papers on the field of interpretation of morphology and meaning and mechanical translation for dealing with languages and speech recognition technology such as the method of dealing with co–ordinate conjunctions in English–Korean mechanical translation and the search method in continuous speech recognition.
5. Another used speech recognition to make a transcript of a video, then served up ads –– in the demonstration, they were text links –– alongside the video.