Blind audio source separation based on independent component analysis

Shoji Makino*, Hiroshi Sawada, Shoko Araki

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This keynote talk describes a state-of-the-art method for the blind source separation (BSS) of convolutive mixtures of audio signals. Independent component analysis (ICA) is used as a major statistical tool for separating the mixtures. We provide examples to show how ICA criteria change as the number of audio sources increases. We then discuss a frequency-domain approach where simple instantaneous ICA is employed in each frequency bin. A directivity pattern analysis of the ICA solutions provides us with a physical interpretation of the ICA-based separation. It tells us the relationship between ICA-based BSS and adaptive beamforming. In order to obtain properly separated signals with the frequency-domain approach, the permutation and scaling ambiguity of the ICA solutions should be aligned appropriately. We describe two complementary methods for aligning the permutations, i.e., collecting separated frequency components originating from the same source. The first method exploits the signal envelope dependence of the same source across frequencies. The second method relies on the spatial diversity of the sources, and is closely related to source localization techniques. Finally, we describe methods for sparse source separation, which can be applied even to an underdetermined case.

本文言語English
ホスト出版物のタイトルIndependent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings
出版社Springer Verlag
ページ843
ページ数1
ISBN(印刷版)9783540744931
DOI
出版ステータスPublished - 2007
外部発表はい
イベント7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007 - London, United Kingdom
継続期間: 2007 9 92007 9 12

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4666 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007
国/地域United Kingdom
CityLondon
Period07/9/907/9/12

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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