Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation.

IEEE/ACM Transactions on Audio, Speech, and Language Processing（2019）

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摘要

We consider the problem of blind source separation for underdetermined convolutive mixtures. Based on the multiplicative narrowband approximation in the time-frequency domain with the help of the short-time-Fourier-transform (STFT) and the sparse representation of the source signals, we formulate the separation problem in an optimization framework. This framework is then generalized based on the r...

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关键词

Narrowband,Time-frequency analysis,Optimization,Approximation algorithms,Manganese,Covariance matrices,Blind source separation

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