Nonstationary-state hidden Markov model representation of speech signals for speech enhancement

A novel formulation of the nonstationary-state hidden Markov model (NS-HMM), employed as the speech model and serving as the theoretical basis for the construction of a speech enhancement system, is presented in this paper. The NS-HMM is used as a compact, parametric model, generalized from the stat...

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Veröffentlicht in:	Signal processing 2002-02, Vol.82 (2), p.205-227
Hauptverfasser:	Sameti, Hossein, Deng, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Information, signal and communications theory Minimum mean-square-error estimate Noise removal Nonstationary-state hidden Markov model Signal processing Speech enhancement Speech processing Telecommunications and information theory
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