On calculating the inverse of separation matrix in frequency-domain blind source separation

Hiroshi Sawada*, Shoko Araki, Ryo Mukai, Shoji Makino

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

For blind source separation (BSS) of convolutive mixtures, the frequency-domain approach is efficient and practical, because the convolutive mixtures are modeled with instantaneous mixtures at each frequency bin and simple instantaneous independent component analysis (ICA) can be employed to separate the mixtures. However, the permutation and scaling ambiguities of ICA solutions need to be aligned to obtain proper time-domain separated signals. This paper discusses the idea that calculating the inverses of separation matrices obtained by ICA is very important as regards aligning these ambiguities. This paper also shows the relationship between the ICA-based method and the time-frequency masking method for BSS, which becomes clear by calculating the inverses.

本文言語English
ホスト出版物のタイトルIndependent Component Analysis and Blind Signal Separation - 6th International Conference, ICA 2006, Proceedings
ページ691-699
ページ数9
DOI
出版ステータスPublished - 2006
外部発表はい
イベント6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006 - Charleston, SC, United States
継続期間: 2006 3 52006 3 8

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)
3889 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006
国/地域United States
CityCharleston, SC
Period06/3/506/3/8

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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