5 citations · 8 across the 5 of their papers we have counts for
5 papers
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion
Yuxiang Zhang, Jingze Lu, Xingming Wang +5
This paper describes the deepfake audio detection system submitted to the Audio Deep Synthesis Detection (ADD) Challenge Track 3.2 and gives an analysis of score fusion. The propos…
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…
Back-ends Selection for Deep Speaker Embeddings
Zhuo Li, Runqiu Xiao, Zihan Zhang +3
Probabilistic Linear Discriminant Analysis (PLDA) was the dominant and necessary back-end for early speaker recognition approaches, like i-vector and x-vector. However, with the de…
The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge
Zhuo Li, Ce Fang, Runqiu Xiao +3
This paper describes the systems submitted by team HCCL to the Far-Field Speaker Verification Challenge. Our previous work in the AIshell Speaker Verification Challenge 2019 shows…
Adaptive Margin Circle Loss for Speaker Verification
Runqiu Xiao
Deep-Neural-Network (DNN) based speaker verification sys-tems use the angular softmax loss with margin penalties toenhance the intra-class compactness of speaker embeddings,which a…