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Automatic speech recognition

Automatic speech-recognition technology may soon be capable of translating ordinary spoken discourse accurately into visually displayed text, at least in quiet environments this may eventually be a major boon for the profoundly hearing impaired. Presently, such systems must be carefully trained on individual speakers and/or must have a limited vocabulary [Ramesh et al, 1992]. Because there is much commercial interest in speech command of computers and vehicle subsystems, this field is advancing rapidly. [Pg.1177]

Levinson, S. Continuously variable duration hidden Markov models for automatic speech recognition. Computer Speech and Language I (1986), 29 5. [Pg.588]

WiGHTMAN, C. W., AND ROSE, R. C. Evaluation of an efficient prosody labeling system for spontaneous speech utterances. Proceedings. IEEE Automatic Speech Recognition and Understanding Workshop I (1999), 333-336. [Pg.601]

ACOUSTICAL AND ENVIRONMENTAL ROBUSTNESS IN AUTOMATIC SPEECH RECOGNITION, A. Acero... [Pg.240]

Sound switch, whistle switch, automatic speech recognition... [Pg.788]

Automatic speech recognition (ASR), in which the individual uses sounds, letters, or words as a selection method, is another alternative to keyboard input. In most such systems, the speech recognition is speaker-dependent, and the user trains the system to recognize his or her voice by producing several samples of the same element (Comerford et al., 1997). ASR system use is increasing in the mainstream commercial market for use on the Internet, dictation, general telephone use, and most other computer activities. Persons with disabilities will be the beneficiaries of this expanded use of ASR systems. These systems all use continuous ASR techniques in which the user can speak in almost normal patterns with slight pauses between words. [Pg.789]

Baker, J. M. (1981), How to achieve recognition A tutorial/status report on automatic speech recognition. Speech Technol. (Fall) 30-31, 36-43. [Pg.799]

Aukland, K., 61-1 Autocorrelellogram, 26-7 Automatic speech-recognition technology, 71-5 Autoregulating Windkessel... [Pg.1525]

Keywords— Malay Vowel Recognition, Time Delay Neural Network, Automatic Speech Recognition, Children Speech. [Pg.565]

Benzeghiba M, Mori R, Deroo O, Dupont S, Erbes T, Jouvet D, Fis-sore L, Laface P, Mertins A., Ris C, Rose R, Tyagi V and Wellekens C (2007) Automatic speech recognition and speech variabiUty A review. Speech Communication 49 763-786... [Pg.568]


See other pages where Automatic speech recognition is mentioned: [Pg.139]    [Pg.336]    [Pg.394]    [Pg.385]    [Pg.13]    [Pg.253]    [Pg.9]    [Pg.982]    [Pg.2088]    [Pg.307]    [Pg.565]    [Pg.452]   
See also in sourсe #XX -- [ Pg.6 , Pg.30 ]

See also in sourсe #XX -- [ Pg.565 ]




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