Abstract | ||
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In this paper we consider an acoustic scenario with a desired source and a directional interference picked up by hearing devices in a noisy and reverberant environment. We present an extension of the binaural multichannel Wiener filter (BMWF), by adding an interference rejection constraint to its cost function, in order to combine the advantages of spatial and spectral filtering while mitigating directional interferences. We prove that this algorithm can be decomposed into the binaural linearly constrained minimum variance (BLCMV) algorithm followed by a single channel Wiener post-filter. The proposed algorithm yields improved interference rejection capabilities, as compared with the BMWF. Moreover, by utilizing the spectral information on the sources, it is demonstrating better SNR measures, as compared with the BLCMV. |
Year | Venue | Keywords |
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2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | Hearing aids, Binaural cues, LCMV and MWF Beamforming, Noise and interference cancellation |
Field | DocType | ISSN |
Speech enhancement,Minimum-variance unbiased estimator,Computer science,Single antenna interference cancellation,Artificial intelligence,Interference (wave propagation),Spatial filter,Wiener filter,Pattern recognition,Signal-to-noise ratio,Algorithm,Speech recognition,Binaural recording | Conference | 1520-6149 |
Citations | PageRank | References |
2 | 0.41 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elior Hadad | 1 | 121 | 6.76 |
Daniel Marquardt | 2 | 104 | 8.81 |
Simon Doclo | 3 | 782 | 79.31 |
Sharon Gannot | 4 | 1754 | 130.51 |