An SNR-incremental stochastic matching algorithm for noisy speech recognition.

In this paper, an signal-to-noise ratio (SNR)-incremental stochastic matching (SISM) algorithm is proposed for robust speech recognition in noisy environments. The SISM algorithm is an extension of Sankar and Lee's (1996) stochastic matching (SM) for dealing with the distortion due to additive...

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Bibliographic Details

Published in:	IEEE Transactions on speech and audio processing 9, 8 (2001).
Main Author:	Chao-Shih Huang
Format:	Article
Language:	English
Subjects:	EM algorithm. SISM algorithm. SNR-incremental stochastic matching algorithm. Additive noise. Environment-matched models. Expectation-maximization algorithm. Maximum likelihood-based techniques. Noise compensation. Noisy environments. Noisy speech recognition. Recursive operation. Reference model. Robust speech recognition.