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Probabilistic Modeling Paradigms for Audio Source Separation
(IGI Global, 2011)
Most sound scenes result from the superposition of several sources, which can be separately perceived and analyzed by human listeners. Source separation aims to provide machine listeners with similar skills by extracting ...
Audio Source Separation Using Sparse Representations
(IGI Global, 2011)
The authors address the problem of audio source separation, namely, the recovery of audio signals from recordings of mixtures of those signals. The sparse component analysis framework is a powerful method for achieving ...