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Spatial multi-channel linear prediction for dereverberation of ad-hoc microphones

Conference Paper


Abstract


  • A spatially modified multi-channel linear prediction analysis is proposed and tested for the dereverberation of ad-hoc microphone arrays. The proposed spatial multi-channel linear prediction takes into account the estimated spatial distances between each microphone and the source and is applied for the short-term dereverberation (pre-whitening). The delayed linear prediction is then applied for the suppression of the late reverberation. Results suggest that the proposed method outperforms the standard linear prediction based methods when applied to the ad-hoc microphones. It is also concluded that the kurtosis of the linear prediction residual signal is a reliable distance feature when the microphone gains are inconsistent and the sources energy levels vary.

Authors


  •   Pasha, Shahab (external author)
  •   Ritz, Christian H.
  •   Zou, Yue-Xian (external author)

Publication Date


  • 2017

Citation


  • S. Pasha, C. Ritz & Y. Zou, "Spatial multi-channel linear prediction for dereverberation of ad-hoc microphones," in 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), 2017, pp. 1696-1700.

Scopus Eid


  • 2-s2.0-85050508718

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1702

Start Page


  • 1696

End Page


  • 1700

Place Of Publication


  • United States

Abstract


  • A spatially modified multi-channel linear prediction analysis is proposed and tested for the dereverberation of ad-hoc microphone arrays. The proposed spatial multi-channel linear prediction takes into account the estimated spatial distances between each microphone and the source and is applied for the short-term dereverberation (pre-whitening). The delayed linear prediction is then applied for the suppression of the late reverberation. Results suggest that the proposed method outperforms the standard linear prediction based methods when applied to the ad-hoc microphones. It is also concluded that the kurtosis of the linear prediction residual signal is a reliable distance feature when the microphone gains are inconsistent and the sources energy levels vary.

Authors


  •   Pasha, Shahab (external author)
  •   Ritz, Christian H.
  •   Zou, Yue-Xian (external author)

Publication Date


  • 2017

Citation


  • S. Pasha, C. Ritz & Y. Zou, "Spatial multi-channel linear prediction for dereverberation of ad-hoc microphones," in 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), 2017, pp. 1696-1700.

Scopus Eid


  • 2-s2.0-85050508718

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1702

Start Page


  • 1696

End Page


  • 1700

Place Of Publication


  • United States