Analysis and comparative study of source separation performances in feed-forward and feed-back BSSs based on propagation delays in convolutive mixture

  • Authors:

  • Akihide Horita;Kenji Nakayama;Akihiro Hirano

  • Affiliations:

  • Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan;Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan;Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan

  • Venue:
  • ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
  • Year:
  • 2007

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Abstract

Feed-Forward (FF-) and Feed-Back (FB-) structures have been proposed for Blind Source Separation (BSS). The FF-BSS systems have some degrees of freedom in the solution space, and signal distortion is likely to occur in convolutive mixtures. On the other hand, the FBBSS structure does not cause signal distortion. However, it requires a condition on the propagation delays in the mixing process. In this paper, source separation performance in the FB-BSS is theoretically analyzed taking the propagation delays into account. Simulation is carried out by using white signals and speech signals as the signal sources. The FF-BSS system and the FB-BSS system are compared. Even though the FB-BSS can provide good separation performance, there exits some limitation on location of the signal sources and the sensors.