Grouping separated frequency components by estimating propagation model parameters 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: Article査読

95 被引用数 (Scopus)

抄録

This paper proposes a new formulation and optimization procedure for grouping frequency components in frequency-domain blind source separation (BSS). We adopt two separation techniques, independent component analysis (ICA) and time-frequency (T-F) masking, for the frequency-domain BSS. With ICA, grouping the frequency components corresponds to aligning the permutation ambiguity of the ICA solution in each frequency bin. With T-F masking, grouping the frequency components corresponds to classifying sensor observations in the time-frequency domain for individual sources. The grouping procedure is based on estimating anechoic propagation model parameters by analyzing ICA results or sensor observations. More specifically, the time delays of arrival and attenuations from a source to all sensors are estimated for each source. The focus of this paper includes the applicability of the proposed procedure for a situation with wide sensor spacing where spatial aliasing may occur. Experimental results show that the proposed procedure effectively separates two or three sources with several sensor configurations in a real room, as long as the room reverberation is moderately low.

本文言語English
論文番号4244536
ページ(範囲)1592-1604
ページ数13
ジャーナルIEEE Transactions on Audio, Speech and Language Processing
15
5
DOI
出版ステータスPublished - 2007 7
外部発表はい

ASJC Scopus subject areas

  • 音響学および超音波学
  • 電子工学および電気工学

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