An iterative approach to monaural musical mixture de-soloing

In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instrument (or melody) track and an accompaniment track. To that aim, we propose to model the power spectral densities (PSDs) of both contributions with a source/filter model for the main instrument while retaining a model emphasizing temporal repetitions of the musical background. We show that improved source separation performances can be obtained by a two-step estimation strategy where the model parameters are re-estimated in a second stage by adequately exploiting the main melody line estimated in a first stage. The experiments conducted on several monaural signal databases show that our system achieves state-of-the-art performances compared to other unsupervised source separation algorithms.


Published in:
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 105-108
Presented at:
ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, 19-24 04 2009
Year:
2009
Publisher:
IEEE
Laboratories:




 Record created 2011-02-10, last modified 2018-03-17


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