PHASE-BASED INFORMED SOURCE SEPARATION FOR ACTIVE LISTENING OF MUSIC

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. 1