11 citations · 21 across the 17 of their papers we have counts for
6 papers · 1 filter
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…
Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022
Zhengyang Chen, Bing Han, Xu Xiang +3
Many speaker recognition challenges have been held to assess the speaker verification system in the wild and probe the performance limit. Voxceleb Speaker Recognition Challenge (Vo…
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…
The SJTU System for Short-duration Speaker Verification Challenge 2021
Bing Han, Zhengyang Chen, Zhikai Zhou +1
This paper presents the SJTU system for both text-dependent and text-independent tasks in short-duration speaker verification (SdSV) challenge 2021. In this challenge, we explored…
Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction
Bing Han, Zhengyang Chen, Yanmin Qian
For self-supervised speaker verification, the quality of pseudo labels decides the upper bound of the system due to the massive unreliable labels. In this work, we propose dynamic…
The SJTU X-LANCE Lab System for CNSRC 2022
Zhengyang Chen, Bei Liu, Bing Han +2
This technical report describes the SJTU X-LANCE Lab system for the three tracks in CNSRC 2022. In this challenge, we explored the speaker embedding modeling ability of deep ResNet…