高斌
Professional Title:Professor
Supervisor of Doctorate Candidates
Title of Paper:Single-Channel Blind Separation using L1-Sparse Complex Nonnegative Matrix Factorization for Acoustic Signals
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Journal:Journal of the Acoustical Society of America
Abstract:A novel single-channel audio source separation (SCASS) has been developed to extract better quality of audio separated signals. This approach will exploit the variational -sparse complex matrix factorization (v-SCMF) which offers the advantages of the CMF and a variational -sparse approach simultaneously. CMF is based on a mixing model defined in the complex-spectrum domain and estimates recurring patterns in the observed magnitude spectra, their activations and their phases. The proposed factorization decomposes an information-bearing matrix into complex of factor matrices.
All the Authors: Gao B, Dlay SS, Woo WL,Parathai P
Discipline:Engineering
Volume:137
Page Number:124-129
Translation or Not:no
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