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arXiv · 2404.10301

Long-form music generation with latent diffusion

Zach Evans·Julian D. Parker·CJ Carr·Zack Zukowski·Josiah Taylor·Jordi Pons
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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 from text prompts. 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 quality and prompt alignment, and subjective tests reveal that it produces full-length music with coherent structure.

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Zach Evans, Julian D. Parker, CJ Carr, Zack Zukowski, Josiah Taylor, Jordi Pons. 2024-04-16. Long-form music generation with latent diffusion. https://arxiv.org/abs/2404.10301

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