SingSong: Generating musical accompaniments from singing

research work·research paper·active

Research work examining audio generation, automatic accompaniment.

Recorded facts

Official site	https://arxiv.org/abs/2301.12662 ↗
Geography	Global
arxiv	2301.12662
venue	arXiv preprint
authors	Chris Donahue; Antoine Caillon; Adam Roberts; Ethan Manilow; Philippe Esling; Andrea Agostinelli; Mauro Verzetti; Ian Simon; Olivier Pietquin; Neil Zeghidour; Jesse Engel
methods	retrieval
code urls	unknown
demo urls	unknown
exact title	SingSong: Generating musical accompaniments from singing
project urls	https://g.co/magenta/singsong
original title	unknown
citation counts	unknown
research topics	audio generation; automatic accompaniment; music retrieval; singing voice
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	2023-01-30
abstract level neutral summary	The work studies audio generation, automatic accompaniment; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	unknown
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.