Lorcan Mc Donagh

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We propose a new method to perform the separation of two sound sources from a single sensor. This method generalizes the Wiener filtering with locally stationary, non gaussian, parametric source models. The method involves a learning phase for which we propose three different algorithm. In the separation phase, we use a sparse non negative decomposition(More)
This paper describes a method for analyzing audio signals with an adaptive “parametric dictionary”. We use sliding frames to extract elementary signals or grains from the analysis signal. We search for similarities amongst the collected grains to form classes, which we then use to derive a signal model for each class. These signal models or prototypes, are(More)
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