Blind source separation of convolutive mixtures

Shoji Makino*

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This paper introduces the blind source separation (BSS) of convolutive mixtures of acoustic signals, especially speech. A statistical and computational technique, called independent component analysis (ICA), is examined. By achieving nonlinear decorrelation, nonstationary decorrelation, or time-delayed decorrelation, we can find source signals only from observed mixed signals. Particular attention is paid to the physical interpretation of BSS from the acoustical signal processing point of view. Frequency-domain BSS is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., adaptive beamformers (ABFs). Although BSS can reduce reverberant sounds to some extent in the same way as ABF, it mainly removes the sounds from the jammer direction. This is why BSS has difficulties with long reverberation in the real world. If sources are not "independent," the dependence results in bias noise when obtaining the correct separation filter coefficients. Therefore, the performance of BSS is limited by that of ABF. Although BSS is upper bounded by ABF, BSS has a strong advantage over ABF. BSS can be regarded as an intelligent version of ABF in the sense that it can adapt without any information on the array manifold or the target direction, and sources can be simultaneously active in BSS.

本文言語English
ホスト出版物のタイトルIndependent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV
DOI
出版ステータスPublished - 2006
外部発表はい
イベントIndependent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV - Kissimmee, FL, United States
継続期間: 2006 4 172006 4 21

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
6247
ISSN(印刷版)0277-786X

Conference

ConferenceIndependent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV
国/地域United States
CityKissimmee, FL
Period06/4/1706/4/21

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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