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cs.SD2024
On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection
Chenyang Guo, Liping Chen, Zhuhai Li +3
Neural networks are commonly known to be vulnerable to adversarial attacks mounted through subtle perturbation on the input data. Recent development in voice-privacy protection has…
cs.SD2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding
Rui Wang, Liping Chen, Kong AiK Lee +1
Voice anonymization has been developed as a technique for preserving privacy by replacing the speaker's voice in a speech signal with that of a pseudo-speaker, thereby obscuring th…
eess.AS2024★ 13 cited
Adversarial speech for voice privacy protection from Personalized Speech generation
Shihao Chen, Liping Chen, Jie Zhang +3
The rapid progress in personalized speech generation technology, including personalized text-to-speech (TTS) and voice conversion (VC), poses a challenge in distinguishing between…