Robust real-time blind source separation for moving speakers in a room

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


研究成果: Conference article査読

31 被引用数 (Scopus)


This paper describes a robust real-time blind source separation (BSS) method for moving speech signals in a room. Our method employs frequency domain independent component analysis (ICA) using a blockwise batch algorithm in the first stage, and the separated signals are refined by postprocessing using crosstalk component estimation and non-stationary spectral subtraction in the second stage. The blockwise batch algorithm achieves better performance than an online algorithm when sources are fixed, and the postprocessing compensates for performance degradation caused by source movement. Experimental results using speech signals recorded in a real room show that the proposed method realizes robust real-time separation for moving sources. Our method is implemented on a standard PC and works in realtime.

ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版ステータスPublished - 2003
イベント2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
継続期間: 2003 4 62003 4 10

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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