BLIND SEPARATION OF AUDIO SOURCES CONVOLUTIVE MIXTURES USING PARAMETRIC DECOMPOSITION
Résumé
This paper introduces new algorithms for the blind separation of audio sources of instantaneous and convolutive mixtures using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components. Based on this representation, we propose a two steps approach consisting of a signal analysis (extraction of the modal components) followed by a signal synthesis (pairing of the components belonging to the same source). For the signal analysis, we consider a parametric estimation algorithm using ESPRIT technique. A major advantage of the proposed method resides in its ability to separate more sources than sensors in the instantaneous mixture case. Simulation results are given to assess the performance of the proposed algorithm.
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