An Experimental Study on Replay Attack Detection Using Spoofing Clues from both Voiced and Non-Voiced Segments-Reference-Cited by-同舟云学术

An Experimental Study on Replay Attack Detection Using Spoofing Clues from both Voiced and Non-Voiced Segments

Published:2021-02-26 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Digital Signal Processing
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Author:

Wang Yifeng¹,Liu Yong¹,Gao Peng¹,Wang Yujun¹

Affiliation:

1. Xiaomi Inc.,Beijing,China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3458380.3458426

Reference22 articles.

1. Li Lantian and Chen Yixiang and Wang Dong and Zheng Thomas Fang. 2017. A study on replay attack and anti-spoofing for automatic speaker verification arXiv preprint arXiv:1706.02101 Li Lantian and Chen Yixiang and Wang Dong and Zheng Thomas Fang. 2017. A study on replay attack and anti-spoofing for automatic speaker verification arXiv preprint arXiv:1706.02101

2. A New Replay Attack Against Automatic Speaker Verification Systems

3. Jung J. W. Shim H. J. Heo H. S. & Yu H. J. 2020. A study on the role of subsidiary information in replay attack spoofing detection. arXiv preprint arXiv:2001.11688 Jung J. W. Shim H. J. Heo H. S. & Yu H. J. 2020. A study on the role of subsidiary information in replay attack spoofing detection. arXiv preprint arXiv:2001.11688

4. ASVspoof 2017: automatic speaker verification spoofing and countermeasures challenge evaluation plan;Kinnunen Tomi;Training,2017

5. Experimental Analysis of Features for Replay Attack Detection — Results on the ASVspoof 2017 Challenge

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1. A replay attack detection scheme based on perceptual image hashing;Multimedia Tools and Applications;2023-06-12

2. Replay Attack Detection Based on Voice and Non-voice Sections for Speaker Verification;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07