Devices and methods for speech recognition of vocabulary words with simultaneous detection and verification
作者： Eduardo Lleida , Richard Cameron Rose
DOI:
关键词: Pattern recognition 、 Feature vector 、 Word (computer architecture) 、 Computer science 、 Recursion (computer science) 、 Hidden Markov model 、 Artificial intelligence 、 Measure (mathematics) 、 Language model 、 Speech recognition 、 Viterbi algorithm 、 Lexicon
摘要: Devices and methods for speech recognition enable simultaneous word hypothesis detection verification in a one-pass procedure that provides different segmentations of the input. A confidence measure target known is determined according to recursion formula operates on parameters models alternate words, language model lexicon, feature vectors input likelihood ratio decoder. The processed determine an accept/reject signal output with signal. based hidden Markov single optimum state sequence may take form modified Viterbi algorithm.
lens.org 参考文章(20)
Sheryl R. Young, Wayne H. Ward, Recognition confidence measures for spontaneous spoken dialog. conference of the international speech communication association. ,(1993)
Richard C. Rose, Edward M. Hofstetter, Techniques for robust word spotting in continuous speech messages. conference of the international speech communication association. ,(1991)
Kenney Ng, Man-Hung Siu, Herbert Gish, Philippe Jeanrenaud, Jan Robin Rohlicek, Phonetic-based word spotter: various configurations and application to event spotting. conference of the international speech communication association. ,(1993)
James E. Curry, Alexander I. McAllister, Robert C. Tressler, James B. Hayden, Frank E. Meador, Kathleen M. Casey, John P. Hanle, Automated directory assistance system using word recognition and phoneme processing method ,(1994)
R.C. Rose, B.H. Juang, C.H. Lee, A training procedure for verifying string hypotheses in continuous speech recognition international conference on acoustics, speech, and signal processing. ,vol. 1, pp. 281- 284 ,(1995) , 10.1109/ICASSP.1995.479528
Tao Hong, Jonathan J. Hull, Relaxation word recognizer ,(1995)
Lalit R. Bahl, Robert L. Mercer, Peter F. Brown, Peter V. deSouza, Training of markov models used in a speech recognition system ,(1986)
M.G. Rahim, Chin-Hui Lee, Biing-Hwang Juang, Robust utterance verification for connected digits recognition international conference on acoustics, speech, and signal processing. ,vol. 1, pp. 285- 288 ,(1995) , 10.1109/ICASSP.1995.479529
Lawrence G. Bahler, Automated sorting of voice messages through speaker spotting Journal of the Acoustical Society of America. ,vol. 96, pp. 3209- 3209 ,(1993) , 10.1121/1.411374
Stephen E. Levinson, Hidden Markov model speech recognition arrangement Journal of the Acoustical Society of America. ,vol. 86, pp. 2478- 2478 ,(1982) , 10.1121/1.398355