Imperial College London > Talks@ee.imperial > COMMSP Seminar > Joint dereverberation and noise reduction based on acoustic multi-channel equalization

Joint dereverberation and noise reduction based on acoustic multi-channel equalization

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Abstract Acoustic multi-channel equalization techniques, such as regularized partial multi-channel equalization based on the multiple-input/output inverse theorem (RPMINT), are able to achieve a high dereverberation performance in the presence of room impulse response perturbations but may lead to amplification of the additive noise. In this presentation time-domain techniques aiming at joint dereverberation and noise reduction based on acoustic multi-channel equalization will be discussed. The first technique, namely RPMINT for joint dereverberation and noise reduction (RPM-DNR), extends RPMINT by explicitly taking the noise statistics into account. In addition to the regularization parameter used in RPMINT , the RPM -DNR technique introduces an additional weighting parameter, enabling a trade-off between dereverberation and noise reduction. The second technique, namely multi-channel Wiener filter for joint dereverberation and noise reduction (MWF-DNR), takes both the speech and the noise statistics into account and uses the RPMINT filter to compute a dereverberated reference signal for the multi-channel Wiener filter. The MWF -DNR technique also introduces an additional weighting parameter, which now provides a trade-off between speech distortion and noise reduction. To automatically select the regularization and weighting parameters, for the RPM -DNR technique a novel procedure based on the L-hypersurface is proposed, whereas for the MWF -DNR technique two decoupled optimization procedures based on the L-curve are used.

Biography Ina Kodrasi received the Master of Science degree in Communications, Systems and Electronics in 2010 from Jacobs University Bremen, Germany and the PhD degree in 2015 from the University of Oldenburg, Germany. Since December 2015 she is a postdoctoral researcher at the Signal Processing Group of the University of Oldenburg in the field of speech dereverberation and noise reduction. From 2010 to 2011 she was also with the Fraunhofer Institute for Digital Media Technology (IDMT), Project group Hearing, Speech and Audio Technology in Oldenburg where she worked on microphone-array beamforming.

This talk is part of the COMMSP Seminar series.

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