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Found 2 papers, 1 papers with code
Hybrid Transformers for Music Source Separation
While it performs poorly when trained only on MUSDB, we show that it outperforms Hybrid Demucs (trained on the same data) by 0. 45 dB of SDR when using 800 extra training songs.
Ranked #1 on
Music Source Separation
on MUSDB18
(using extra training data)
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
In this paper, we propose a novel score-base generative model for unconditional raw audio synthesis.
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