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Machine Learning Methods for Monaural Sound Source Separation

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If you have a question about this talk, please contact Taylan Cemgil.

This presentation covers recent advances in monaural sound source separation which are based on decomposing spectrograms into a sum of non-negative parts. These methods include non-negative matrix factorization and its extensions.

This talk is part of the Audio and Music Processing (AMP) Reading Group series.

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