A Computationally Light Algorithm for Bayesian Speech Enhancement with SNR Marginalization

While speech enhancement has critically required the estimation of local time-varying SNR, it was recently shown that SNR can be marginalized in a Bayesian sense from the minimum-mean-square-error (MMSE) solution. Precisely, the local SNR is introduced as a stochastic variable and Bayesian integrati...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 6209 - 6213
Hauptverfasser:	Thaleiser, Stefan, Enzner, Gerald
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2020
Schlagworte:	Bayes methods Bayesian treatment Estimation Instruments Noise measurement Signal to noise ratio Speech enhancement Task analysis
ISSN:	2379-190X
Online-Zugang:	Volltext
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