Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Patent
1996-01-26
1998-07-07
Tung, Kee M.
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
704240, G10L 506
Patent
active
057783411
ABSTRACT:
The invention is a speech recognition system and method for transmitting information including the receipt and decoding of speech information such as that modeled by hidden Markov models (HMMs). In this invention, the state likelihoods of the modeled state sequences contained within the speech information are assigned penalties based on the difference between those state likelihoods and a maximum possible state likelihood. Once penalties have been assigned, the modified state sequence with the modified state likelihoods having the highest cumulative state likelihoods is used in further speech recognition processing. In this manner, state sequences having no extremely poor state likelihoods are favored over those having both extremely high and extremely poor state likelihoods.
REFERENCES:
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Ramesh, P., Wilpon, J.G., "Modeling State Durations in Hidden Markov Models for Automatic Speech Recognition", Proc. ICASP 1992, vol. 1, pp. 381-384, Apr. 1992.
Rabiner, L. R., Wilpon, J. G. and Juang, B. H., "A Model-Based Connected-Digit Recognition System Using Either Hidden Markov Models or Templates", Computer, Speech and Language, vol. 1, No. 2, pp. 167-197, Dec. 1986.
Rabiner, L. R., Wilpon, J.G., and Juang, B.H., "A Segmental k-means Training Procedure for Connected Word Recognition Based on Whole Word Reference Patterns," AT&T Tech. Journ., vol. 65, No. 3, pp. 21-31, May 1986.
Wilpon, J.G., et al "Connected Digit Recognition for Telecommunication-based Applications", BLTechnical Memorandum BL011226-931125, Nov. 1994.
Lucent Technologies - Inc.
Tung Kee M.
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