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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发表在:	IEEE Transactions on speech and audio processing 9, 8 (2001).
主要作者:	Chao-Shih Huang
格式:	文件
语言:	英语
主题:	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.