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A New Approach for Speech Enhancement Based on a Constrained Nonnegative Matrix Factorization

By Nasser Mohammadiha, Timo Gerkmann and Arne Leijon

Abstract

In this paper, a new approach is presented for singlechannelspeech enhancement which is based on NonnegativeMatrix Factorization (NMF). The proposed scheme combinesthe noise Power Spectral Density (PSD) estimation based ona constrained NMF and Wiener filtering to enhance the noisyspeech. The imposed constraint is motivated by the time correlationof the underlying observations and enforces the NMF togive smoother estimates of the nonnegative factors. Comparedto the standard NMF approach and Wiener filtering based ona recently developed noise PSD estimator, Source to DistortionRatio (SDR) isQC 20111116AUDI

Topics: Engineering and Technology, Teknik och teknologier
Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2011
DOI identifier: 10.1109/ISPACS.2011.6146099
OAI identifier: oai:DiVA.org:kth-42591
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