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A PyTorch implementation of DNN-based source separation.

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Close this off afterwards but is there such a thing as a targeted keyword separation as say voicefilter is targeted speech separation I just wondered if similar had been applied...

Reference: ["D3Net: Densely connected multidilated DenseNet for music source separation"](https://arxiv.org/abs/2010.01733)

In deep clustering, the number of trainable parameters is different from [here](https://arxiv.org/abs/1809.07454).

In the [DANet paper](https://arxiv.org/abs/1611.08930), the curriculum training was used.

Hi @tky823, nice repo ! We'd welcome most of this code in Asteroid if you'd like to contribute :smiley: Would you? Cheers,

Evaluation of source separation by - SDR (improvement) - SIR (improvement) - SAR These are realized by `mir_eval`.

Hi, great work! I am interested in separating a specific drum from tracks. We could provide training data. Would you be interested in a gig (could be everything from helping...