ISCA Archive Interspeech 2006
ISCA Archive Interspeech 2006

An optimum microphone array post-filter for speech applications

Stamatis Leukimmiatis, Dimitrios Dimitriadis, Petros Maragos

This paper proposes a post-filtering estimation scheme for multichannel noise reduction. The proposed method extends and improves the existing Zelinski’s and, the most general and prominent, McCowan’s post-filtering methods that use the auto- and cross-spectral densities of the multichannel input signals to estimate the transfer function of the Wiener post-filter. A major drawback of these two speech enhancement algorithms is that the noise power spectrum at the beamformer’s output is over-estimated and therefore the derived filters are sub-optimal in the Wiener sense. The proposed method deals with this problem and can be considered as an optimal postfilter that is appropriate for a wide variety of different noise fields. In experiments over real-noise multichannel recordings, the proposed technique is shown to obtain a significant headstart over the other methods in terms of signal-to-noise ratio and speech degradation measures. In addition it is used for ASR experiments where promising preliminary results are presented.

doi: 10.21437/Interspeech.2006-557

Cite as: Leukimmiatis, S., Dimitriadis, D., Maragos, P. (2006) An optimum microphone array post-filter for speech applications. Proc. Interspeech 2006, paper 1389-Wed3FoP.4, doi: 10.21437/Interspeech.2006-557

  author={Stamatis Leukimmiatis and Dimitrios Dimitriadis and Petros Maragos},
  title={{An optimum microphone array post-filter for speech applications}},
  booktitle={Proc. Interspeech 2006},
  pages={paper 1389-Wed3FoP.4},