most citedSpeaker Privacy and Security in the Big Data Era: Protection and Defense against Deepfake

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.AS2025

Target speaker anonymization in multi-speaker recordings

Natalia Tomashenko, Junichi Yamagishi, Xin Wang +2

Most of the existing speaker anonymization research has focused on single-speaker audio, leading to the development of techniques and evaluation metrics optimized for such conditio…

eess.AS20251 cited

Speaker Privacy and Security in the Big Data Era: Protection and Defense against Deepfake

Liping Chen, Kong Aik Lee, Zhen-Hua Ling +4

In the era of big data, remarkable advancements have been achieved in personalized speech generation techniques that utilize speaker attributes, including voice and speaking style,…

cs.SD2025

SecureSpeech: Prompt-based Speaker and Content Protection

Belinda Soh Hui Hui, Xiaoxiao Miao, Xin Wang

Given the increasing privacy concerns from identity theft and the re-identification of speakers through content in the speech field, this paper proposes a prompt-based speech gener…

eess.AS2025

Mitigating Language Mismatch in SSL-Based Speaker Anonymization

Zhe Zhang, Wen-Chin Huang, Xin Wang +2

Speaker anonymization aims to protect speaker identity while preserving content information and the intelligibility of speech. However, most speaker anonymization systems (SASs) ar…

eess.AS2024

Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches

Chang Zeng, Xiaoxiao Miao, Xin Wang +2

In real-world applications, it is challenging to build a speaker verification system that is simultaneously robust against common threats, including spoofing attacks, channel misma…