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TASLP
2008
104views more  TASLP 2008»
13 years 4 months ago
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes ...
Jan S. Erkelens, Richard Heusdens
ICASSP
2008
IEEE
13 years 10 months ago
Fast noise tracking based on recursive smoothing of MMSE noise power estimates
We consider estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. In each time frame, for each frequency bin, the noise...
Jan S. Erkelens, Richard Heusdens
ICASSP
2010
IEEE
13 years 4 months ago
MMSE based noise PSD tracking with low complexity
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
ICASSP
2009
IEEE
13 years 11 months ago
Fast noise PSD estimation with low complexity
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise ...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
ICASSP
2011
IEEE
12 years 8 months ago
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
Noise power spectral density estimation is an important component of speech enhancement systems due to its considerable effect on the quality and the intelligibility of the enhanc...
Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Ji...