Fundamental Limitation of Frequency Domain Blind Source Separation for Convolved Mixture of Speech

نویسندگان

  • Shoko Araki
  • Shoji Makino
  • Ryo Mukai
  • Tsuyoki Nishikawa
  • Hiroshi Saruwatari
چکیده

Despite several recent proposals to achieve Blind Source Separation (BSS) for realistic acoustic signals, the separation performance is still not enough. In particular, when the length of an impulse response is long, the performance is highly limited. In this paper, we consider the reason for the poor performance of BSS in a long reverberation environment. First, we show that it is useless to be constrained by the condition P T , where T is the frame size of FFT and P is the length of a room impulse response. We also discuss the limitation of frequency domain BSS, by showing that the frequency domain BSS framework is equivalent to two sets of frequency domain adaptive beamformers.

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تاریخ انتشار 2001