Daniel Stoller

Implementation of the Wave-U-Net for audio source separation

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Improved Wave-U-Net implemented in Pytorch

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Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

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FactorGAN - Training GANs with missing data

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Jamendo music dataset with time-aligned lyrics for lyrics alignment evaluation

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Wave-U-Net for automatic (drum) mixing

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Official implementation of the Seq-U-Net for efficient sequence modelling

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