Four new papers published

We have published four new papers (under peer review) on ArXiv regarding deepfake detection and speaker anonymization. If you are interested, please click on each paper to view the preprints of each paper.

Xin Wang, Ge Wanying, Junichi Yamagishi, “Does Fine-tuning by Reinforcement Learning Improve Generalization in Binary Speech Deepfake Detection?” March 2026

Preprint: https://arxiv.org/abs/2603.02914

Hoan My Tran, Xin Wang, Wanying Ge, Xuechen Liu, Junichi Yamagishi, “Deepfake Word Detection by Next-token Prediction using Fine-tuned Whisper“, March 2026

Preprint: https://arxiv.org/abs/2602.22658

Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Michele Panariello, Xin Wang, Nicholas Evans, Emmanuel Vincent, Junichi Yamagishi, Massimiliano Todisco, “The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization“, March 2026

Preprint: https://arxiv.org/abs/2601.11846

Xin Wang, Héctor Delgado, Nicholas Evans, Xuechen Liu, Tomi Kinnunen, Hemlata Tak, Kong Aik Lee, Ivan Kukanov, Md Sahidullah, Massimiliano Todisco, Junichi Yamagishi, “ ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech “, March 2026

Preprint: https://arxiv.org/abs/2601.03944

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