Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming

R. Aichner, S. Araki, S. Makino, T. Nishikawa, H. Saruwatari

研究成果: Conference contribution

27 被引用数 (Scopus)

抄録

We propose a time-domain blind source separation (BSS) algorithm that utilizes geometric information such as sensor positions and assumed locations of sources. The algorithm tackles the problem of convolved mixtures by explicitly exploiting the non-stationarity of the acoustic sources. The learning rule is based on second-order statistics and is derived by natural gradient minimization. The proposed initialization of the algorithm is based on the null beamforming principle. This method leads to improved separation performance, and the algorithm is able to estimate long unmixing FIR filters in the time domain due to the geometric initialization. We also propose a post-filtering method for dewhitening which is based on the scaling technique in frequency-domain BSS. The validity of the proposed method is shown by computer simulations. Our experimental results confirm that the algorithm is capable of separating real-world speech mixtures and can be applied to short learning data sets down to a few seconds. Our results also confirm that the proposed dewhitening post-filtering method maintains the spectral content of the original speech in the separated output.

本文言語English
ホスト出版物のタイトルNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
編集者Samy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
出版社Institute of Electrical and Electronics Engineers Inc.
ページ445-454
ページ数10
ISBN(電子版)0780376161
DOI
出版ステータスPublished - 2002
外部発表はい
イベント12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
継続期間: 2002 9 6 → …

出版物シリーズ

名前Neural Networks for Signal Processing - Proceedings of the IEEE Workshop
2002-January

Other

Other12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
国/地域Switzerland
CityMartigny
Period02/9/6 → …

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 人工知能
  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 信号処理

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