MusicLM: Generating Music From Text

research work·research paper·active

Research work examining music generation.

Recorded facts

Official site	https://arxiv.org/abs/2301.11325 ↗
Geography	Global
arxiv	2301.11325
venue	Supplementary material at https://google-research.github.io/seanet/musiclm/examples and https://kaggle.com/datasets/googleai/musiccaps
authors	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
methods	unknown
code urls	unknown
demo urls	https://google-research.github.io/seanet/musiclm/examples; https://kaggle.com/datasets/googleai/musiccaps
exact title	MusicLM: Generating Music From Text
project urls	https://google-research.github.io/seanet/musiclm/examples; https://kaggle.com/datasets/googleai/musiccaps
original title	unknown
citation counts	unknown
research topics	music generation
peer review status	not established from abstract metadata
disclosed conflicts	unknown
stated contribution	Presents or evaluates the system, method, benchmark, or analysis identified in the paper title.
us market scope basis	Included as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies.
funding acknowledgements	unknown
affiliations at publication	Google Research
publication or preprint date	2023-01-26
abstract level neutral summary	The work studies music generation; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	MusicCaps; MusicLM
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.

Current

affiliated with	Google Research 2023-01-26 — nowSource 1 ↗ VERIFIED medium confidence
introduces	MusicCaps 2023-01-26 — nowSource 1 ↗ VERIFIED high confidence