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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