DMCA
Audio source separation of convolutive mixtures (2003)
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| Venue: | IEEE Trans. Speech Audio Process |
| Citations: | 41 - 7 self |
BibTeX
@ARTICLE{Mitianoudis03audiosource,
author = {Nikolaos Mitianoudis and Mike Davies},
title = {Audio source separation of convolutive mixtures},
journal = {IEEE Trans. Speech Audio Process},
year = {2003},
pages = {489--497}
}
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Abstract
Abstract — 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 modelled 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.
Keyphrases
audio source separation convolutive mixture apparent permutation problem blind source separation convolved mixture recording environment current approach audio source fast frequency domain ica framework modern literature independent component analysis previous research real world situation solid background instantaneous mixture
