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Singer melody extraction in polyphonic signals using source separation methods

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3 Author(s)
Durrieu, J.-L. ; CNRS LTCI, TELECOM ParisTech, Paris ; Richard, G. ; David, B.

We propose a new approach for singer melody extraction, based on blind source separation techniques. The short time Fourier transform (STFT) of the singer signal is modelled by a Gaussian mixture model (GMM) explicitly coupled with a generative source/filter model. We then introduce a simplification of this general GMM and approximate the STFT of the music signal using Non-negative Matrix Factorization (NMF) techniques. The melody line is extracted from the explicit source component of the model thanks to a Viterbi algorithm. The results are very promising and comparable or better than those of state-of-the-art systems.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008

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