Title of Paper:Single Channel Blind Separation using Pseudo-Stereo Mixture and Complex 2D Histogram (Code is attached)

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Journal:IEEE Trans. on Neural Networks and Learning Systems

Abstract:A new novel single-channel blind source separation (SCBSS) algorithm is presented. The proposed algorithm yields at least three benefits of the SCBSS solution: resemblance of a stereo signal concept given by one microphone, independent of initialization and a priori knowledge of the sources, and it does not require iterative optimization. The separation process consists of two steps: 1) Estimation of source characteristics where the source signals are modeled by the autoregressive (AR) process. 2) Construction of masks using only the single-channel mixture.

Note:Code is attached

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

Correspondence Author:Bin Gao

Discipline:Engineering

Volume:24

Issue:11

Page Number:1-14

Translation or Not:no

Date of Publication:2013-10-15