18 papers
In Defense of Using Worst-case Privacy Disclosure as Privacy Evaluation Metric of Voice Anonymization
Xin Wang, Xiaoxiao Miao
The voice anonymization community mainly uses Equal Error Rate (EER) to evaluate the performance of voice identity protection. While alternative metrics such as privacy-ZEBRA and a…
Child-Centric Voice Anonymization in Single and Multi-Speaker Speech via Domain-Adapted SSL Models
Pranav Tushar, Xiao Xiao Miao, Rong Tong
Voice anonymization aims to protect speaker identity while preserving linguistic content and speech usability. However, most anonymization systems are developed on adult speech, le…
Spectrogram features for audio and speech analysis
Ian McLoughlin, Lam Pham, Yan Song +7
Spectrogram-based representations have grown to dominate the feature space for deep learning audio analysis systems, and are often adopted for speech analysis also. Initially, the…
DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
Ridwan Arefeen, Xiaoxiao Miao, Rong Tong +3
Voice anonymization masks vocal traits while preserving linguistic content, which may still leak speaker-specific patterns. To assess and strengthen privacy evaluation, we propose…
Language-Invariant Multilingual Speaker Verification for the TidyVoice 2026 Challenge
Ze Li, Xiaoxiao Miao, Juan Liu +1
Multilingual speaker verification (SV) remains challenging due to limited cross-lingual data and language-dependent information in speaker embeddings. This paper presents a languag…
Toward Multimodal Industrial Fault Analysis: A Single-Speed Chain Conveyor Dataset with Audio and Vibration Signals
Zhang Chen, Yucong Zhang, Xiaoxiao Miao +1
We introduce a multimodal industrial fault analysis dataset collected from a single-speed chain conveyor (SSCC) system, targeting system-level fault detection in production lines.…