SceneFake: An initial dataset and benchmarks for scene fake audio detection

doi:10.1016/j.patcog.2024.110468

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 模式分析与学习团队

	SceneFake: An initial dataset and benchmarks for scene fake audio detection
	Yi, Jiangyan 5; Wang, Chenglong 4,5; Tao, Jianhua 2,3; Zhang, Chu Yuan 5; Fan, Cunhang 1; Tian, Zhengkun 5; Ma, Haoxin 5; Fu, Ruibo 5
刊名	PATTERN RECOGNITION
	2024-08-01
卷号	152 页码:12
关键词	Scene manipulation Fake audio detection Speech enhancement SceneFake dateset
ISSN号	0031-3203
DOI	10.1016/j.patcog.2024.110468
通讯作者	Yi, Jiangyan(jiangyan.yi@nlpr.ia.ac.cn)
英文摘要	Many datasets have been designed to further the development of fake audio detection. However, fake utterances in previous datasets are mostly generated by altering timbre, prosody, linguistic content or channel noise of original audio. These datasets leave out a scenario, in which the acoustic scene of an original audio is manipulated with a forged one. It will pose a major threat to our society if some people misuse the manipulated audio with malicious purpose. Therefore, this motivates us to fill in the gap. This paper proposes such a dataset for scene fake audio detection named SceneFake, where a manipulated audio is generated by only tampering with the acoustic scene of an real utterance by using speech enhancement technologies. Some scene fake audio detection benchmark results on the SceneFake dataset are reported in this paper. In addition, an analysis of fake attacks with different speech enhancement technologies and signal-to-noise ratios are presented in this paper. The results indicate that scene fake utterances cannot be reliably detected by baseline models trained on the ASVspoof 2019 dataset. Although these models perform well on the SceneFake training set and seen testing set, their performance is poor on the unseen test set. The dataset2 and benchmark source codes3 are publicly available.
资助项目	National Natural Science Foundation China (NSFC)[62322120] ; National Natural Science Foundation China (NSFC)[62306316] ; National Natural Science Foundation China (NSFC)[U21B2010] ; National Natural Science Foundation China (NSFC)[62101553] ; National Natural Science Foundation China (NSFC)[62206278]
WOS关键词	SPEAKER VERIFICATION ; SPEECH ENHANCEMENT ; IDENTIFICATION
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:001226983800001
资助机构	National Natural Science Foundation China (NSFC)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58467]
专题	自动化研究所_模式识别国家重点实验室_模式分析与学习团队
通讯作者	Yi, Jiangyan
作者单位	1.Anhui Univ, Hefei, Peoples R China 2.Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing, Peoples R China 3.Tsinghua Univ, Dept Automat, Beijing, Peoples R China 4.Univ Sci & Technol China, Hefei, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yi, Jiangyan,Wang, Chenglong,Tao, Jianhua,et al. SceneFake: An initial dataset and benchmarks for scene fake audio detection[J]. PATTERN RECOGNITION,2024,152:12.
APA	Yi, Jiangyan.,Wang, Chenglong.,Tao, Jianhua.,Zhang, Chu Yuan.,Fan, Cunhang.,...&Fu, Ruibo.(2024).SceneFake: An initial dataset and benchmarks for scene fake audio detection.PATTERN RECOGNITION,152,12.
MLA	Yi, Jiangyan,et al."SceneFake: An initial dataset and benchmarks for scene fake audio detection".PATTERN RECOGNITION 152(2024):12.