Audio source separation of convolutive mixtures

被引：64

作者：

Mitianoudis, N ^{[1
]}

Davies, ME ^{[1
]}

机构：

[1] Univ London, Queen Mary, Dept Elect Engn, London E1 4NS, England

来源：

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING | 2003年 / 11卷 / 05期

关键词：

audio source separation; convolutive mixtures; frequency domain independent component analysis;

D O I：

10.1109/TSA.2003.815820

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The problem of separation of audio sources recorded in a real world situation is well established in modern literature. A method to solve this problem is Blind Source Separation (BSS) using Independent Component Analysis (ICA). The recording environment is usually modeled as convolutive. Previous research on ICA of instantaneous mixtures provided solid background for the separation of convolved mixtures. The authors revise current approaches on the subject and propose a fast frequency domain ICA framework, providing a solution for the apparent permutation problem encountered in these methods.

引用

页码：489 / 497

页数：9

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