A New Linear MMSE Filter for Single Channel Speech Enhancement Based on Nonnegative Matrix Factorization
2011 (English)In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011, IEEE , 2011Conference paper (Refereed)
In this paper, a linear MMSE filter is derived for single-channelspeech enhancement which is based on Nonnegative Matrix Factorization(NMF). Assuming an additive model for the noisy observation,an estimator is obtained by minimizing the mean square errorbetween the clean speech and the estimated speech components inthe frequency domain. In addition, the noise power spectral density(PSD) is estimated using NMF and the obtained noise PSD is usedin a Wiener filtering framework to enhance the noisy speech. Theresults of the both algorithms are compared to the result of the sameWiener filtering framework in which the noise PSD is estimatedusing a recently developed MMSE-based method. NMF based approachesoutperform the Wiener filter with the MMSE-based noisePSD tracker for different measures. Compared to the NMF-basedWiener filtering approach, Source to Distortion Ratio (SDR) is improvedfor the evaluated noise types for different input SNRs usingthe proposed linear MMSE filter.
Place, publisher, year, edition, pages
IEEE , 2011.
Speech enhancement, nonnegative matrix factorization, Linear MMSE filter
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-42589DOI: 10.1109/ASPAA.2011.6082303ISI: 000298302900012ScopusID: 2-s2.0-83455182002OAI: oai:DiVA.org:kth-42589DiVA: diva2:447319
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. New Paltz, NY. October 16-19 2011
FunderEU, European Research Council, 2008-214699
QC 201111162012-10-312011-10-112013-09-16Bibliographically approved