| Paper: | SP-L10.2 | ||
| Session: | Multichannel Speech Enhancement | ||
| Time: | Friday, May 21, 13:20 - 13:40 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Speech Enhancement | ||
| Title: | MICROPHONE ARRAY POST-FILTER FOR SEPARATION OF SIMULTANEOUS NON-STATIONARY SOURCES | ||
| Authors: | Jean-Marc Valin; University of Sherbrooke | ||
| Jean Rouat; University of Sherbrooke | |||
| François Michaud; University of Sherbrooke | |||
| Abstract: | Microphone array post-filters have demonstrated their ability to greatly reduce noise at the output of a beamformer. However, current techniques only consider a single source of interest, most of the time assuming stationary background noise. We propose a microphone array post-filter that enhances the signals produced by the separation of simultaneous sources using common source separation algorithms. Our method is based on a loudness-domain optimal spectral estimator and on the assumption that the noise can be described as the sum of a stationary component and of a transient component that is due to leakage between the channels of the initial source separation algorithm. The system is evaluated in the context of mobile robotics and is shown to produce better results than current post-filtering techniques, greatly reducing interference while causing little distortion to the signal of interest, even at very low SNR. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops