1 citations · 1 across the 13 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
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…
eess.AS2024
Refining Self-Supervised Learnt Speech Representation using Brain Activations
Hengyu Li, Kangdi Mei, Zhaoci Liu +4
It was shown in literature that speech representations extracted by self-supervised pre-trained models exhibit similarities with brain activations of human for speech perception an…
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…