A General Modular Framework for Audio Source Separation

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A General Modular Framework for Audio Source Separation
Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the mixing process. In this paper we introduce a general modular audio source separation framework based on a library of flexible source models that enable the incorporation of prior knowledge about the characteristics of each source. First, this framework generalizes several existing audio source separation methods, while bringing a common formulation for them. Second, it allows to imagine and implement new efficient methods that were not yet reported in the literature. We first introduce the framework by describing the flexible model, explaining its generality, and summarizing our modular implementation using a Generalized Expectation-Maximization algorithm. Finally, we illustrate the above-mentioned capabilities of the framework by applying it in several new and existing configurations to different source separ...
Alexey Ozerov, Emmanuel Vincent, Fréd&eacut
Added 07 Dec 2010
Updated 07 Dec 2010
Type Conference
Year 2010
Where ICA
Authors Alexey Ozerov, Emmanuel Vincent, Frédéric Bimbot
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