Learning From Yourself: A Self-Distillation Method For Fake Speech Detection

Author:

Xue Jun1,Fan Cunhang1,Yi Jiangyan2,Wang Chenglong2,Wen Zhengqi3,Zhang Dan4,Lv Zhao1

Affiliation:

1. Anhui University,Anhui Province Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology,Hefei,China,230601

2. Chinese Academy of Sciences,NLPR, Institute of Automation,Beijing,China,100190

3. Qiyuan Laboratory,Beijing,China,100190

4. Tsinghua University,Department of Psychology,Beijing,China,100190

Funder

Research and Development

National Natural Science Foundation of China

Youth Foundation

National Laboratory of Pattern Recognition

Publisher

IEEE

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1. DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection;Neural Networks;2024-11

2. SingFake: Singing Voice Deepfake Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. GMM-ResNet2: Ensemble of Group Resnet Networks for Synthetic Speech Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. One-Class Knowledge Distillation for Spoofing Speech Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research;Psychology & Marketing;2024-01-04

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