SingFake: Singing Voice Deepfake Detection

research work·provenance detection paper·active

Research work examining singing voice, synthetic-audio detection.

Verified facts

Official site	https://arxiv.org/abs/2309.07525 ↗
Geography	Global
doi	10.1109/ICASSP48485.2024.10448184
arxiv	2309.07525
venue	Accepted at ICASSP 2024
authors	Yongyi Zang; You Zhang; Mojtaba Heydari; Zhiyao Duan
methods	unknown
code urls	unknown
demo urls	unknown
exact title	SingFake: Singing Voice Deepfake Detection
project urls	https://www.singfake.org/
original title	unknown
citation counts	unknown
research topics	singing voice; synthetic-audio detection
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	2023-09-14
abstract level neutral summary	The work studies singing voice, synthetic-audio detection; 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.