April 17, 2024, 4:42 a.m. | Zach Evans, Julian D. Parker, CJ Carr, Zack Zukowski, Josiah Taylor, Jordi Pons

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.10301v1 Announce Type: cross
Abstract: Audio-based generative models for music have seen great strides recently, but so far have not managed to produce full-length music tracks with coherent musical structure. We show that by training a generative model on long temporal contexts it is possible to produce long-form music of up to 4m45s. Our model consists of a diffusion-transformer operating on a highly downsampled continuous latent representation (latent rate of 21.5Hz). It obtains state-of-the-art generations according to metrics on audio …

abstract arxiv audio cs.lg cs.sd diffusion eess.as form generative generative models managed music music generation show temporal training type

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