6 citations · 14 across the 30 of their papers we have counts for
5 papers · 1 filter
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection
Wenqing Wei, Zhengdong Yang, Yuan Gao +4
The early-stage Alzheimer's disease (AD) detection has been considered an important field of medical studies. Like traditional machine learning methods, speech-based automatic dete…
GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System
Xiaojiao Chen, Sheng Li, Jiyi Li +3
Speaker adaptation systems face privacy concerns, for such systems are trained on private datasets and often overfitting. This paper demonstrates that an attacker can extract speak…
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization
Xiaojiao Chen, Sheng Li, Jiyi Li +3
Current speaker anonymization methods, especially with self-supervised learning (SSL) models, require massive computational resources when hiding speaker identity. This paper propo…
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement
Zili Qi, Xinhui Hu, Wangjin Zhou +4
Recently, researchers have shown an increasing interest in automatically predicting the subjective evaluation for speech synthesis systems. This prediction is a challenging task, e…
Towards Speech Dialogue Translation Mediating Speakers of Different Languages
Shuichiro Shimizu, Chenhui Chu, Sheng Li +1
We present a new task, speech dialogue translation mediating speakers of different languages. We construct the SpeechBSD dataset for the task and conduct baseline experiments. Furt…