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%0 Conference Proceedings
%A Régnier, Lise
%A Peeters, Geoffroy
%T Partial Clustering Using a Time-Varying Frequency Model for Singing Voice Detection.
%D 2010
%B ICASSP
%F Regnier10a
%K Singing voice detection
%K Source separation
%K Polyphonic music analysis
%K Vibrato detection.
%X We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapted to singing voice. In our approach, we model time-varying frequencies of partials as a slowly varying frequency plus a sinusoidal modulation. The parameters obtained with this model plus some common Auditory Scene Analysis principles are used to define a similarity measure between partials. This multi-criterion based measure is then used to build the input similarity matrix of a clustering algorithm. Clusters obtained are groups of harmonically related partials. We evaluate the ability of our method to group partials per source when one of the sources is a singing voice. We show that partial clustering is a promising approach for singing voice detection and separation.
%1 6
%2 3
%U http://articles.ircam.fr/textes/Regnier10a/