| Paper: | AE-L2.4 | ||
| Session: | Loudspeaker and Microphone Array Processing | ||
| Time: | Wednesday, May 17, 15:00 - 15:20 | ||
| Presentation: | Lecture | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | Post-Processing for Convolutive Blind Source Separation | ||
| Authors: | Robert Aichner, Meray Zourub, Herbert Buchner, Walter Kellermann, University or Erlangen-Nuremberg, Germany | ||
| Abstract: | Convolutive blind source separation (BSS) aims at separating point sources from mixtures picked up by several sensors. In real-world environments moving speakers, background noise and long reverberation are encountered which often degrade the performance of BSS algorithms. In such cases, the application of a post-filter can improve the output signal quality by suppression of residual cross-talk and of background noise. In this paper we propose a novel technique to estimate the necessary power spectral densities of the cross-talk components and present a robust system which allows to further suppress both, the remaining interference from point sources and the background noise. Experimental results show the benefit of this post-processing method in realistic environments. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012