中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection

文献类型:期刊论文

AuthorFan, Cunhang1; Xue, Jun1; Tao, Jianhua2; Yi, Jiangyan3; Wang, Chenglong3; Zheng, Chengshi4; Lv, Zhao1
SourceNEURAL NETWORKS
Issued Date2024-07-01
Volume175Pages:11
KeywordASVspoof Fake speech detection Fundamental frequency Res2Net
ISSN0893-6080
DOI10.1016/j.neunet.2024.106320
Corresponding AuthorFan, Cunhang(cunhang.fan@ahu.edu.cn) ; Tao, Jianhua(jhtao@tsinghua.edu.cn)
English AbstractThe rhythm of bonafide speech is often difficult to replicate, which causes that the fundamental frequency (F0) of synthetic speech is significantly different from that of real speech. It is expected that the F0 feature contains the discriminative information for the fake speech detection (FSD) task. In this paper, we propose a novel F0 subband for FSD. In addition, to effectively model the F0 subband so as to improve the performance of FSD, the spatial reconstructed local attention Res2Net (SR-LA Res2Net) is proposed. Specifically, Res2Net is used as a backbone network to obtain multiscale information, and enhanced with a spatial reconstruction mechanism to avoid losing important information when the channel group is constantly superimposed. In addition, local attention is designed to make the model focus on the local information of the F0 subband. Experimental results on the ASVspoof 2019 LA dataset show that our proposed method obtains an equal error rate (EER) of 0.47% and a minimum tandem detection cost function (min t-DCF) of 0.0159, achieving the state-of-the-art performance among all of the single systems.
Funding ProjectSTI[2021ZD0201500] ; National Natural Science Foundation of China (NSFC)[62201002] ; National Natural Science Foundation of China (NSFC)[62322120] ; Excellent Youth Foundation of Anhui Scientific Committee, China[208085J05] ; Special Fund for Key Program of Science and Technology of Anhui Province, China[202203a07020008] ; Open Research Projects of Zhejiang Lab, China[2021KH0AB06]
WOS Research AreaComputer Science ; Neurosciences & Neurology
Language英语
WOS IDWOS:001234206200001
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Funding OrganizationSTI ; National Natural Science Foundation of China (NSFC) ; Excellent Youth Foundation of Anhui Scientific Committee, China ; Special Fund for Key Program of Science and Technology of Anhui Province, China ; Open Research Projects of Zhejiang Lab, China
源URL[http://ir.ia.ac.cn/handle/173211/58487]  
Collection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
Corresponding AuthorFan, Cunhang; Tao, Jianhua
Affiliation1.Anhui Univ, Sch Comp Sci & Technol, Anhui Prov Key Lab Multimodal Cognit Computat, Hefei 230601, Peoples R China
2.Tsinghua Univ, Dept Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Acoust, Key Lab Noise & Vibrat Res, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Fan, Cunhang,Xue, Jun,Tao, Jianhua,et al. Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection[J]. NEURAL NETWORKS,2024,175:11.
APA Fan, Cunhang.,Xue, Jun.,Tao, Jianhua.,Yi, Jiangyan.,Wang, Chenglong.,...&Lv, Zhao.(2024).Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection.NEURAL NETWORKS,175,11.
MLA Fan, Cunhang,et al."Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection".NEURAL NETWORKS 175(2024):11.

入库方式: OAI收割

来源:自动化研究所

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