Speaker independent phonetic transcription of fluent speech for large vocabulary speech recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
HLT '90 Proceedings of the workshop on Speech and Natural Language
Improved acoustic modeling for continuous speech recognition
HLT '90 Proceedings of the workshop on Speech and Natural Language
Improved hidden Markov modeling for speaker-independent continuous speech recognition
HLT '90 Proceedings of the workshop on Speech and Natural Language
The Lincoln tied-mixture HMM continuous speech recognizer
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
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
Improved HMM models for high performance speech recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
A speech understanding system based on statistical representation of semantics
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
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Integration of language constraints into a large vocabulary speech recognition system often leads to prohibitive complexity. We propose to factor the constraints into two components. The first is characterized by a covering grammar which is small and easily integrated into existing speech recognizers. The recognized string is then decoded by means of an efficient language post-processor in which the full set of constraints is imposed to correct possible errors introduced by the speech recognizer.