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arXiv:2301.11325cs.SD

MusicLM: Generating Music From Text

Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matt Sharifi, Neil Zeghidour, Christian Frank

Abstract

We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes. Our experiments show that MusicLM outperforms previous systems both in audio quality and adherence to the text description. Moreover, we demonstrate that MusicLM can be conditioned on both text and a melody in that it can transform whistled and hummed melodies according to the style described in a text caption. To support future research, we publicly release MusicCaps, a dataset composed of 5.5k music-text pairs, with rich text descriptions provided by human experts.

arXiv comments
Supplementary material at https://google-research.github.io/seanet/musiclm/examples and https://kaggle.com/datasets/googleai/musiccaps
Journal reference
DOI
Subjects
cs.SDSound cs.LGMachine Learning eess.ASAudio and Speech Processing

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Linked by 3 identifiable commenters in 3 comments across 3 threads, from Jan 2023 to Jul 2025. Found in 1 HN submission from Jan 2023 to Jan 2023. Open submission discussions.

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Discussed in comments3 threads

  1. Introduction to Computer Music 1 comment

    • "Computer Music" is a very broad term (no surprises here) so, like many here, I can point out topics that are not covered. In particular, computer music (aka algorithmic) composition [1], or very recent AI techniques like the Google seq2seq example at [2], or the (unpublished…

      JoeDaDudeView on HNParent context

  2. Turn ideas into music with MusicLM 1 comment

    • >"Nice, but somehow it feels like I've heard these songs before. Could that be possible?" According to the paper[0] "We found that only a tiny fraction of examples was memorized exactly, while for 1% of the examples we could identify an approximate match." FWIW I'm pretty sure I…

      m-i-lView on HNParent context

  3. MusicLM: Generating Music from Text 1 comment

    • Link to paper: https://arxiv.org/abs/2301.11325 (the one on the site seems broken) Even with the knowledge that something like this is inevitabely coming, it's pretty crazy to see the examples. The fact it can create fitting music from painting descriptions (including ones such…

      andreykView on HNParent context

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