41 citations · 59 across the 5 of their papers we have counts for
5 papers
A comprehensive study on self-supervised distillation for speaker representation learning
Zhengyang Chen, Yao Qian, Bing Han +2
In real application scenarios, it is often challenging to obtain a large amount of labeled data for speaker representation learning due to speaker privacy concerns. Self-supervised…
Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit
Hongji Wang, Chengdong Liang, Shuai Wang +5
Speaker modeling is essential for many related tasks, such as speaker recognition and speaker diarization. The dominant modeling approach is fixed-dimensional vector representation…
SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022
Zhengyang Chen, Bing Han, Xu Xiang +3
This report describes the SJTU-AISPEECH system for the Voxceleb Speaker Recognition Challenge 2022. For track1, we implemented two kinds of systems, the online system and the offli…
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
Sanyuan Chen, Yu Wu, Chengyi Wang +8
Self-supervised learning (SSL) is a long-standing goal for speech processing, since it utilizes large-scale unlabeled data and avoids extensive human labeling. Recent years witness…
Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification
Zhengyang Chen, Shuai Wang, Yanmin Qian
Large performance degradation is often observed for speaker ver-ification systems when applied to a new domain dataset. Givenan unlabeled target-domain dataset, unsupervised domain…