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An Evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
Ruhr University of Bochum. (Institute of Communication Acoustics (IKA))
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
University of Southampton. (ISVR)
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2011 (English)In: 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, IEEE , 2011, 4640-4643 p.Conference paper (Refereed)
Abstract [en]

Noise power spectral density estimation is an important componentof speech enhancement systems due to its considerable effect onthe quality and the intelligibility of the enhanced speech. Recently,many new algorithms have been proposed and significant progressin noise tracking has been made.In this paper, we present an evaluation framework for measuringthe performance of some recently proposed and some well-knownnoise power spectral density estimators and compare their performancein adverse acoustic environments. In this investigation we donot only consider the performance in the mean of a spectral distancemeasure but also evaluate the variance of the estimators as the latteris related to undesirable fluctuations also known as musical noise.By providing a variety of different non-stationary noises, the robustnessof noise estimators in adverse environments is examined.

Place, publisher, year, edition, pages
IEEE , 2011. 4640-4643 p.
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-42583DOI: 10.1109/ICASSP.2011.5947389ScopusID: 2-s2.0-80051633234OAI: diva2:447247
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. Prague. 22 May 2011 through 27 May 2011
EU, European Research Council, 2008-214699
QC 20111111Available from: 2011-10-11 Created: 2011-10-11 Last updated: 2011-11-11Bibliographically approved

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