Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
Phonological structures for speech recognition
Phonological structures for speech recognition
On the interaction between true source, training, and testing language models
HLT '90 Proceedings of the workshop on Speech and Natural Language
Continuous speech recognition from a phonetic transcription
HLT '90 Proceedings of the workshop on Speech and Natural Language
Training set issues in SRI's DECIPHER speech recognition system
HLT '90 Proceedings of the workshop on Speech and Natural Language
Tied mixtures in the Lincoln robust CSR
HLT '89 Proceedings of the workshop on Speech and Natural Language
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SRI has developed a speaker-independent continuous speech, large vocabulary speech recognition system, DECIPHER, that provides state-of-the-art performance on the DARPA standard speaker-independent resource management training and testing materials. SRI's approach is to integrate speech and linguistic knowledge into the HMM framework. This paper describes performance improvements arising from detailed phonological modeling and from the incorporation of cross-word coarticulatory constraints.