UniAudio: An Audio Foundation Model Toward Universal Audio Generation

research work·research paper·active

Research work examining audio generation, singing voice.

Recorded facts

Official site	https://arxiv.org/abs/2310.00704 ↗
Geography	Global
arxiv	2310.00704
venue	arXiv preprint
authors	Dongchao Yang; Jinchuan Tian; Xu Tan; Rongjie Huang; Songxiang Liu; Xuankai Chang; Jiatong Shi; Sheng Zhao; Jiang Bian; Zhou Zhao; Xixin Wu; Helen Meng
methods	language modeling; transformer architecture
code urls	https://github.com/yangdongchao/UniAudio
demo urls	https://github.com/yangdongchao/UniAudio
exact title	UniAudio: An Audio Foundation Model Toward Universal Audio Generation
project urls	unknown
original title	unknown
citation counts	unknown
research topics	audio generation; 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	unknown
publication or preprint date	2023-10-01
abstract level neutral summary	The work studies audio generation, singing voice; 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.