JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models

research work·research paper·active

Research work examining music generation, text-to-music generation.

Recorded facts

Official site	https://arxiv.org/abs/2308.04729 ↗
Geography	Global
arxiv	2308.04729
venue	Github Demo Page: https://gogoduck912.github.io/Jen1-Demo-Page/
authors	Peike Li; Boyu Chen; Yao Yao; Yikai Wang; Allen Wang; Alex Wang
methods	diffusion modeling
code urls	unknown
demo urls	https://gogoduck912.github.io/Jen1-Demo-Page/; https://jenmusic.ai/audio-demos
exact title	JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
project urls	https://gogoduck912.github.io/Jen1-Demo-Page/; https://jenmusic.ai/audio-demos
original title	unknown
citation counts	unknown
research topics	music generation; text-to-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	unknown
publication or preprint date	2023-08-09
abstract level neutral summary	The work studies music generation, text-to-music generation; 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.