Title of Paper:Cochleagram-based audio pattern separation using two-dimensional non-negative matrix factorization with automatic sparsity adaptation

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Journal:J. Acoust. Soc. Am.

Abstract:An unsupervised single channel audio separation method from an unsupervised pattern recognition viewpoint is presented. The proposed method does not require training knowledge and the separation system is based on non-uniform time-frequency (TF) analysis and feature extraction. Unlike conventional researches that concentrate on the use of spectrogram or its variants, the separation algorithm use an alternative TF representation based on the gammatone filterbank. In particular, the monaural mixed audio signal is considerably more separable in this non-uniform TF domain.

All the Authors: L. C. Khor, W.L. Woo,Bin Gao

Correspondence Author:Bin Gao

Discipline:Engineering

Volume:1353

Issue:3

Page Number:1171–1185

Translation or Not:no

Date of Publication:2014-01-17