The Lincoln Continuous Speech Recognition system: recent developments and results

Authors:
Douglas B. Paul
Affiliations:
-
Venue:
HLT '89 Proceedings of the workshop on Speech and Natural Language
Year:
1989

Citing 0
Cited 8

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
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
Improved HMM models for high performance speech recognition

HLT '89 Proceedings of the workshop on Speech and Natural Language
Large-vocabulary speaker-independent continuous speech recognition with semi-continuous hidden Markov models

HLT '89 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
Prosody, performance evaluation, databases, and ISAT

HLT '89 Proceedings of the workshop on Speech and Natural Language

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Abstract

The Lincoln stress-resistant HMM CSR has been extended to large vocabulary continuous speech for both speaker-dependent (SD) and speaker-independent (SI) tasks. Performance on the DARPA Resource Management task (991 word vocabulary, perplexity 60 word-pair grammar) [1] is 3.4% word error rate for SD training of word-context-dependent triphone models and 12.6% word error rate for SI training of (word-context-free) tied mixture triphone models.