Stable Audio Open

research work·research paper·active

Research work examining text-to-audio generation.

Verified facts

Official site	https://arxiv.org/abs/2407.14358 ↗
Geography	Global
arxiv	2407.14358
venue	Demo: https://stability-ai.github.io/stable-audio-open-demo/ Weights: https://huggingface.co/stabilityai/stable-audio-open-1.0 Code: https://github.com/Stability-AI/stable-audio-tools. arXiv admin note: text overlap with arXiv:2404.10301
authors	Zach Evans; Julian D. Parker; CJ Carr; Zack Zukowski; Josiah Taylor; Jordi Pons
methods	unknown
code urls	https://github.com/Stability-AI/stable-audio-tools; https://huggingface.co/stabilityai/stable-audio-open-1.0
demo urls	https://github.com/Stability-AI/stable-audio-tools; https://huggingface.co/stabilityai/stable-audio-open-1.0; https://stability-ai.github.io/stable-audio-open-demo/
exact title	Stable Audio Open
project urls	https://stability-ai.github.io/stable-audio-open-demo/
original title	unknown
citation counts	unknown
research topics	text-to-audio 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	Stability AI
publication or preprint date	2024-07-19
abstract level neutral summary	The work studies text-to-audio generation; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	Stable Audio
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.