Abstract
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.
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CITATION STYLE
Murveit, H., Cohen, M., Price, P., Baldwin, G., Weintraub, M., & Bernstein, J. (1989). SRI’s decipher system. In Speech and Natural Language, Proceedings of a Workshop (pp. 238–242). Association for Computational Linguistics (ACL). https://doi.org/10.3115/100964.100990
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