Title of Paper:Unsupervised Single Channel Separation of Non-Stationary Signals using Gammatone Filterbank and Itakura-Saito Nonnegative Matrix Two-Dimensional Factorizations (Code is attached)

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Journal:IEEE Transactions on Circuits and Systems I

Abstract:A new unsupervised single channel source separation method 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, we develop our separation algorithms using an alternative TF representation based on the gammatone filterbank. In particular, we show that the monaural mixed audio signal is considerably more separable in this non-uniform TF domain.

Note:Code is attached

All the Authors:S.S. Dlay, W.L. Woo,Bin Gao

Correspondence Author:Bin Gao

Discipline:Engineering

Volume:60

Issue:3

Page Number:662-675

Translation or Not:no

Date of Publication:2013-02-21