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Machine Learning in Linux: Demucs – music source separation
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Demucs is billed as “a state-of-the-art music source separation model, currently capable of separating drums, bass, and vocals from the rest of the accompaniment”.
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It’s based on a U-Net convolutional architecture inspired by Wave-U-Net. Version 4 features Hybrid Transformer Demucs, a hybrid spectrogram/waveform separation model using Transformers. It sounds impressive, but what are the results like?
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