Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection-Reference-Cited by-同舟云学术

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Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection

Published:2024 Issue: Volume:32 Page:2453-2466
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Fan Cunhang¹^ORCID,Ding Mingming¹^ORCID,Tao Jianhua²^ORCID,Fu Ruibo³^ORCID,Yi Jiangyan³^ORCID,Wen Zhengqi³,Lv Zhao¹^ORCID

Affiliation:

1. Anhui Province Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China

2. Department of Automation, Tsinghua University Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

3. NLPR Lab, CASIA, Beijing, China

Funder

STI2030-Major

National Natural Science Foundation of China

Distinguished Youth Foundation of Anhui Scientific Committee

Special Fund for the Key Program of Science and Technology of Anhui Province

Open Fund of Key Laboratory of Flight Techniques and Flight Safety

Zhejiang Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10506099.pdf?arnumber=10506099

Reference66 articles.

1. A survey on neural speech synthesis;Tan,2021

2. Spoofing and countermeasures for speaker verification: A survey

3. ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge

4. The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection

5. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

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