Long-form music generation with latent diffusion
<|reference_start|>Long-form music generation with latent diffusion: 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.<|reference_end|>
@article{evans2024long-form,
    title={Long-form music generation with latent diffusion},
    author={Zach Evans, Julian D. Parker, CJ Carr, Zack Zukowski, Josiah Taylor,
  Jordi Pons},
    journal={arXiv preprint arXiv:2404.10301},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10301},
    primaryClass={cs.SD cs.LG eess.AS}
}