Near-field frequency domain blind source separation for convolutive mixtures

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

*この研究の対応する著者

研究成果: Conference article査読

9 被引用数 (Scopus)

抄録

This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when source signals come from the same or similar directions. Geometric information such as the direction of arrival (DOA) is helpful for solving the permutation problem, and a combination of the DOA based and correlation based methods provides a robust and precise solution. However when signals come from similar directions, the DOA based approach fails, and we have to use only the correlation based method whose performance is unstable. In this paper, we show that an interpretation of the ICA solution by a near-field model yields information about spheres on which source signals exist, which can be used as an alternative to the DOA. Experimental results show that the proposed method can robustly separate a mixture of signals arriving from the same direction.

本文言語English
ページ(範囲)IV-49-IV-52
ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
出版ステータスPublished - 2004
外部発表はい
イベントProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
継続期間: 2004 5月 172004 5月 21

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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