Automatic Speech Recognition: The Development of the Sphinx Recognition System
Automatic Speech Recognition: The Development of the Sphinx Recognition System
The acoustic-modeling problem in automatic speech recognition
The acoustic-modeling problem in automatic speech recognition
Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
On the interaction between true source, training, and testing language models
HLT '90 Proceedings of the workshop on Speech and Natural Language
A new paradigm for speaker-independent training and speaker adaptation
HLT '90 Proceedings of the workshop on Speech and Natural Language
Improved HMM models for high performance speech recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
Acoustic modeling of subword units for large vocabulary speaker independent speech recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
Prosody, performance evaluation, databases, and ISAT
HLT '89 Proceedings of the workshop on Speech and Natural Language
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This paper describes recent improvements in the SPHINX Speech Recognition System. These enhancements include function-phrase modeling, between-word coarticulation modeling, and corrective training. On the DARPA resource management task. SPHINX attained a speaker-independent word accuracy of 96% with a grammar (perplexity 60), and 82% without grammar (perplexity 997).