MusicLM: Generating Music From Text · HackerPapers discussions

MusicLM: Generating Music From Text — mentioned by JoeDaDude

Thu, 31 Jul 2025 14:18:14 GMT

"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music (aka algorithmic) composition [1], or very recent AI techniques like the Google seq2seq example at [2], or the (unpublished, but probably a form of generative adversarial networks) techniques used by SunoAI and Udio. [1]. https://ccrma.stanford.edu/~blackrse/algorithm.html [2]. https://arxiv.org/pdf/2301.11325

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MusicLM: Generating Music From Text — mentioned by m-i-l

Sat, 13 May 2023 11:16:06 GMT

>"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 heard a fragment of Kalinka (a folk tune in the public domain) in one of the samples I generated. [0] https://arxiv.org/pdf/2301.11325.pdf

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MusicLM: Generating Music From Text — mentioned by andreyk

Fri, 27 Jan 2023 05:36:15 GMT

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 as or Guernica) is unexpected. And it seems to generate almost naturalistic vocals with reasonable-sounding lyrics, with no embedded structure for lyrics or anything. The paper itself is pretty cool. While GPT-3 was just "GPT-2, but bigger", this seems to have required some clever combination of models. Wonder if…

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MusicLM: Generating Music From Text — HN submission

Fri, 27 Jan 2023 02:44:37 GMT

MusicLM: Generating music from text

291 points; 107 discussion replies on HN. Paper and source history. A submission is not an endorsement.