Deep clustering: discriminative embeddings for source separation
1:04:46
Microsoft
Deep clustering: discriminative embeddings for source separation
We address the problem of acoustic source separation in a deep learning framework we call “deep clustering”. Rather than directly estimating signals or masking functions, we train a deep network to produce spectrogram embeddings that are discriminative for partition labels given in training data. Previous deep network approaches provide ...
Aug 26, 2015
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