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Enhanced Robot Audition Based on Microphone Array Source Separation with Post-Filter

Authors :
Valin, Jean-Marc
Rouat, Jean
Michaud, François
Source :
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1820-1825, 2004
Publication Year :
2016

Abstract

We propose a system that gives a mobile robot the ability to separate simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of Geometric Source Separation and a post-filter that gives us a further reduction of interferences from other sources. We present results and comparisons for separation of multiple non-stationary speech sources combined with noise sources. The main advantage of our approach for mobile robots resides in the fact that both the frequency-domain Geometric Source Separation algorithm and the post-filter are able to adapt rapidly to new sources and non-stationarity. Separation results are presented for three simultaneous interfering speakers in the presence of noise. A reduction of log spectral distortion (LSD) and increase of signal-to-noise ratio (SNR) of approximately 10 dB and 14 dB are observed.<br />Comment: 6 pages

Details

Database :
arXiv
Journal :
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1820-1825, 2004
Publication Type :
Report
Accession number :
edsarx.1603.02341
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/IROS.2004.1389723