activity
20182022
most citedDeepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion

5 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS20225 cited

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…

cs.SD2022

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…

cs.SD20212 cited

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…

cs.SD20211 cited

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…

cs.CV2018

Parsimonious HMMs for Offline Handwritten Chinese Text Recognition

Wenchao Wang, Jun Du, Zi-Rui Wang

Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition. However, due to the large vocabulary of Chinese characters w…

cs.CV2018

DenseRAN for Offline Handwritten Chinese Character Recognition

Wenchao Wang, Jianshu Zhang, Jun Du +2

Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…