A robust and precise method for solving the permutation problem of frequency-domain blind source separation

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

*この研究の対応する著者

研究成果: Article査読

416 被引用数 (Scopus)

抄録

Blind source separation (BSS) for convolutive mixtures can be solved efficiently in the frequency domain, where independent component analysis (ICA) is performed separately in each frequency bin. However, frequency-domain BSS involves a permutation problem: the permutation ambiguity of ICA in each frequency bin should be aligned so that a separated signal in the time-domain contains frequency components of the same source signal. This paper presents a robust and precise method for solving the permutation problem. It is based on two approaches: direction of arrival (DOA) estimation for sources and the inter-frequency correlation of signal envelopes. We discuss the advantages and disadvantages of the two approaches, and integrate them to exploit their respective advantages. Furthermore, by utilizing the harmonics of signals, we make the new method robust even for low frequencies where DOA estimation is inaccurate. We also present a new closed-form formula for estimating DOAs from a separation matrix obtained by ICA. Experimental results show that our method provided an almost perfect solution to the permutation problem for a case where two sources were mixed in a room whose reverberation time was 300 ms.

本文言語English
ページ(範囲)530-538
ページ数9
ジャーナルIEEE Transactions on Speech and Audio Processing
12
5
DOI
出版ステータスPublished - 2004 9月
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 音響学および超音波学
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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