Recent progress in the SPHINX speech recognition system

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Abstract

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 (perplexity997).

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Lee, K. F., Hon, H. W., & Hwang, M. Y. (1989). Recent progress in the SPHINX speech recognition system. In Speech and Natural Language, Proceedings of a Workshop (pp. 125–130). Association for Computational Linguistics (ACL). https://doi.org/10.3115/100964.100973

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