most citedThe HCCL system for VoxCeleb Speaker Recognition Challenge 2022

6 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2023

Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

Yuxiang Zhang, Zhuo Li, Jingze Lu +2

Current synthetic speech detection (SSD) methods perform well on certain datasets but still face issues of robustness and interpretability. A possible reason is that these methods…

eess.AS2023

The Impact of Silence on Speech Anti-Spoofing

Yuxiang Zhang, Zhuo Li, Jingze Lu +3

The current speech anti-spoofing countermeasures (CMs) show excellent performance on specific datasets. However, removing the silence of test speech through Voice Activity Detectio…

cs.SD2023

Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification

Zhuo Li, Jingze Lu, Zhenduo Zhao +2

Utilizing the large-scale unlabeled data from the target domain via pseudo-label clustering algorithms is an important approach for addressing domain adaptation problems in speaker…

cs.SD20236 cited

The HCCL system for VoxCeleb Speaker Recognition Challenge 2022

Zhenduo Zhao, Zhuo Li, Wenchao Wang +1

This report describes our submission to track1 and track3 for VoxCeleb Speaker Recognition Challenge 2022(VoxSRC2022). Our best system achieves minDCF 0.1397 and EER 2.414 in track…

cs.SD20231 cited

PCF: ECAPA-TDNN with Progressive Channel Fusion for Speaker Verification

Zhenduo Zhao, Zhuo Li, Wenchao Wang +1

ECAPA-TDNN is currently the most popular TDNN-series model for speaker verification, which refreshed the state-of-the-art(SOTA) performance of TDNN models. However, one-dimensional…

cs.SD2022

The HCCL System for the NIST SRE21

Zhuo Li, Runqiu Xiao, Hangting Chen +3

This paper describes the systems developed by the HCCL team for the NIST 2021 speaker recognition evaluation (NIST SRE21).We first explore various state-of-the-art speaker embeddin…