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The SPHINX speech recognition system

International Conference on Acoustics, Speech, and Signal ProcessingPublished 13 January 2003
K.-F. Lee, Hsiao-Wuen Hon, Minjoo Hwang, Sanjoy Mahajan, R. Reddy
Citations97

TL;DR

A description is given of SPHINX an accurate large-vocabulary speaker-independent continuous speech recognition system that attained a word accuracy of 96% with a grammar, and 82% without grammar on the 997-word resource management task.

Abstract

A description is given of SPHINX an accurate large-vocabulary speaker-independent continuous speech recognition system. The authors have made several recent enhancements, including generalized triphone models, word duration modeling, function-phrase modeling, between-word coarticulation modeling, and corrective training. On the 997-word resource management task, SPHINX attained a word accuracy of 96% with a grammar (perplexity 60), and 82% without grammar (perplexity 997).>

Keywords

Computer Science