Mustango: Toward Controllable Text-to-Music Generation

research work·research paper·active

Research work examining music generation, music retrieval.

Recorded facts

Official site	https://arxiv.org/abs/2311.08355 ↗
Geography	Global
arxiv	2311.08355
venue	NAACL 2024
authors	Jan Melechovsky; Zixun Guo; Deepanway Ghosal; Navonil Majumder; Dorien Herremans; Soujanya Poria
methods	diffusion modeling; retrieval
code urls	unknown
demo urls	unknown
exact title	Mustango: Toward Controllable Text-to-Music Generation
project urls	unknown
original title	unknown
citation counts	unknown
research topics	music generation; music retrieval; text-to-music generation
peer review status	venue or acceptance claim recorded in arXiv comment
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	unknown
publication or preprint date	2023-11-14
abstract level neutral summary	The work studies music generation, music retrieval; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	MusicGen
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.

authored (by)	Dorien HerremansSource 1 ↗ VERIFIED high confidence
authored (by)	Soujanya PoriaSource 1 ↗ VERIFIED high confidence
authored (by)	Jan MelechovskySource 1 ↗ VERIFIED high confidence