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

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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Detalhes bibliográficos
Publicado no:IEEE Transactions on speech and audio processing 9, 8 (2001).
Autor principal: Chao-Shih Huang
Formato: Artigo
Idioma:English
Assuntos:
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.