A Pre-Filtering and Post-Filtering Approach to Blind Source Separation

نویسندگان

  • Michele Scarpiniti
  • Gabriele Bunkheila
  • Raffaele Parisi
  • Aurelio Uncini
چکیده

In this paper a pre-filtering and a post-filtering approach to blind source separation in reverberant environment is presented. The preprocessing consists in the use of common acoustical poles that can simplify the recovering network, giving some a priori information on the environment. In particular the autoregressive part of a transfer function in a closed environment is common for all positions. After pre-filtering conventional BSS algorithm in frequency domain is applied to get estimates of original sources. In addition an adaptive noise canceler is used as postfilter in order to enhance the quality of the separation. Some experimental results demonstrate the effectiveness of the proposed approach.

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تاریخ انتشار 2010