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Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song. Such components…
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
We study the problem of source separation for music using deep learning with four known sources: drums, bass, vocals and other accompaniments. State-of-the-art approaches predict s…
SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier +2
Recent progress in deep learning for audio synthesis opens the way to models that directly produce the waveform, shifting away from the traditional paradigm of relying on vocoders…