HLT '90 Proceedings of the workshop on Speech and Natural Language
Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
Acoustical and Environmental Robustness in Automatic Speech Recognition
Acoustical and Environmental Robustness in Automatic Speech Recognition
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
Proceedings of the third ACM international conference on Multimedia
Efficient cepstral normalization for robust speech recognition
HLT '93 Proceedings of the workshop on Human Language Technology
Search algorithms for software-only real-time recognition with very large vocabularies
HLT '93 Proceedings of the workshop on Human Language Technology
A hybrid approach to adaptive statistical language modeling
HLT '94 Proceedings of the workshop on Human Language Technology
Recent improvements in the CMU spoken language understanding system
HLT '94 Proceedings of the workshop on Human Language Technology
Gesture salience as a hidden variable for coreference resolution and keyframe extraction
Journal of Artificial Intelligence Research
Gesture features for coreference resolution
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
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In the past year at Carnegie Mellon steady progress has been made in the area of acoustic and language modeling. The result has been a dramatic reduction in speech recognition errors in the SPHINX-II system. In this paper, we review SPHINX-II and summarize our recent efforts on improved speech recognition. Recently SPHINX-II achieved the lowest error rate in the November 1992 DARPA evaluations. For 5000-word, speaker-independent, continuous, speech recognition, the error rate was reduced to 5%.