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5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1997
Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time.
Anne Rogers, Steven J. Phillips
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Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time.
Anne Rogers, Steven J. Phillips
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Introduction to Speech Recognition
2007This chapter presents the state-of-the-art automatic speech recognition (ASR) technology, which is a very successful technology in the computer science field, related to multiple disciplines such as the signal processing and analysis, mathematical statistics, applied artificial intelligence and linguistics, and so forth.
Sergio Suárez-Guerra +1 more
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Recognition of speech spectrograms
The Journal of the Acoustical Society of America, 1984The performance of eight naive observers in learning to identify speech spectrograms was studied over a 2-month period. Single tokens from a 50-word phonetically balanced (PB) list were recorded by several talkers and displayed on a Spectraphonics Speech Spectrographic Display system.
Thomas D. Carrell +2 more
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SPEECH RECOGNITION SYSTEM AND METHOD FOR SPEECH RECOGNITION
The Journal of the Acoustical Society of America, 2013A recognition result extraction unit and an agreement determination unit are provided. The recognition result extraction unit extracts, from a recognition result storage unit, N best solutions A and B obtained by an utterance B. The utterance B follows an utterance A corresponding to the N best solutions A and made by a speaker b who is different from ...
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Speech compression by speech recognition
The Journal of the Acoustical Society of America, 2000A method of transmitting speech signals with reduced bandwith requirements. With this invention an original speech signal is first converted to a textual representation, and a facsimile of the original speech is determined from the textual representation.
Robert Joseph Zavrel +1 more
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Speech and Handwriting Recognition
2015What the reader should know to understand this chapter \(\bullet \) Hidden Markov models (Chap. 10). \(\bullet \) Language models (Chap. 10). \(\bullet \) Bayes decision theory (Chap. 3).
CAMASTRA, Francesco +1 more
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Migrations in Speech Recognition
Language and Cognitive Processes, 1996A new paradigm that may be appropriate for uncovering speech perceptual codes is described. Illusory words (e.g. /bi u/) are detected by blending two dichotic stimuli (e.g. /bit -k u/). According to the logic of illusory conjunctions (Treisman & Schmidt, 1982), the speech unit involved in such illusions must be separately registered as an independent ...
Kolinsky, Régine, Morais, Jose
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Speech recognition in the elderly
Acta Oto-Laryngologica, 1991The acuity of hearing and speech recognition has been checked in two groups of elderly persons: 1) Subjects aged between 50 and 80 years without any ear disease or hearing problems; 2) Subjects of similar age with noise-induced permanent hearing loss (NIPHL).
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2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2009
This Plenary presents automatic speech recognition (ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.
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This Plenary presents automatic speech recognition (ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.
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"Unvoiced speech recognition using EMG - mime speech recognition"
CHI '03 extended abstracts on Human factors in computing systems - CHI '03, 2003We propose unvoiced speech recognition, "Mime Speech Recognition". It recognizes speech by observing the muscles associated with speech. It is not based on voice signals but electromyography (EMG). It will realize unvoiced communication, which is a new communication style.
Hiroyuki Manabe +2 more
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