Phase-based informed source separation for active listening of music

Nicolas Sturmel 1 Laurent Daudet 2 Laurent Girin 1
1 GIPSA-MAGIC - MAGIC
GIPSA-DPC - Département Parole et Cognition
Abstract : This paper presents an informed source separation technique of monophonic mixtures. Although the vast majority of the sepa- ration methods are based on the time-frequency energy of each source, we introduce a new approach using solely phase informa- tion to perform the separation. The sources are iteratively recon- structed using an adaptation of the Multiple Input Spectrogram In- version (MISI) algorithm from Gunawan and Sen. The proposed method is then tested against conventional MISI and Wiener filter- ing on monophonic signals and oracle conditions. Results show that at the cost of a larger computation time, our method outper- forms both MISI and Wiener filtering in oracle conditions with much higher objective quality even with phase quantization.
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Communication dans un congrès
15th International Conference on Digital Audio Effects (DAFx 2012), Sep 2012, York, United Kingdom. Proceedings of the International Conference on Digital Audio Effects (DAFx 2012), pp.n/c, 2012
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Nicolas Sturmel, Laurent Daudet, Laurent Girin. Phase-based informed source separation for active listening of music. 15th International Conference on Digital Audio Effects (DAFx 2012), Sep 2012, York, United Kingdom. Proceedings of the International Conference on Digital Audio Effects (DAFx 2012), pp.n/c, 2012. 〈hal-00807001〉

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