Noise Robust ASV Spoof Detection Using Integrated Features and Time Delay Neural Network-Reference-Cited by-同舟云学术

Noise Robust ASV Spoof Detection Using Integrated Features and Time Delay Neural Network

Published:2022-12-26 Issue:2 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Chakravarty Nidhi,Dua Mohit

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01557-4.pdf

Reference32 articles.

1. Tak H, Todisco M, Wang X, Jung J, Yamagishi J, Evans N. Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation. 2022. arXiv Prepr. arXiv2202.12233

2. Wu Z, Evans N, Kinnunen T, Yamagishi J, Alegre F, Li H. Spoofing and countermeasures for speaker verification: a survey. Speech Commun. 2015;66:130–53.

3. Wu Z, et al. ASVspoof: the automatic speaker verification spoofing and countermeasures challenge. IEEE J Sel Top Signal Process. 2017;11(4):588–604. https://doi.org/10.1109/JSTSP.2017.2671435.

4. Yamagishi J et al. Asvspoof 2019: the 3rd automatic speaker verification spoofing and countermeasures challenge database. 2019.

5. Wu Z, Gao S, Cling ES, Li H. A study on replay attack and anti-spoofing for text-dependent speaker verification. Signal Inf Process Assoc Annu Summit Conf (APSIPA) Asia-Pac. 2014. https://doi.org/10.1109/APSIPA.2014.7041636.

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