Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
Automatic Speech Recognition: The Development of the Sphinx Recognition System
Automatic Speech Recognition: The Development of the Sphinx Recognition System
Speech recognition in SRI's resource management and ATIS systems
HLT '91 Proceedings of the workshop on Speech and Natural Language
Recent progress in robust vocabulary-independent speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Bayesian learning of Gaussian mixture densities for hidden Markov models
HLT '91 Proceedings of the workshop on Speech and Natural Language
A study on speaker-adaptive speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
DARPA resource management benchmark test results June 1990
HLT '90 Proceedings of the workshop on Speech and Natural Language
Factorization of language constraints in speech recognition
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Minimizing speaker variation effects for speaker-independent speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Applying SPHINX-II to the DARPA Wall Street Journal CSR task
HLT '91 Proceedings of the workshop on Speech and Natural Language
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The paper reports recent efforts to further improve the performance of the Sphinx system for speaker-independent continuous speech recognition. The recognition error rate is significantly reduced with incorporation of additional dynamic features, semi-continuous hidden Markov models, and speaker clustering. For the June 1990 (RM2) evaluation test set, the error rates of our current system are 4.3% and 19.9% for word-pair grammar and no grammar respectively.