activity
20192022
most citedMargin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

22 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD20223 cited

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…

cs.SD20224 cited

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…

cs.SD20216 cited

AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge

Houjun Huang, Xu Xiang, Yexin Yang +2

This paper describes the AISpeech-SJTU system for the accent identification track of the Interspeech-2020 Accented English Speech Recognition Challenge. In this challenge track, on…

cs.SD2021

Unit selection synthesis based data augmentation for fixed phrase speaker verification

Houjun Huang, Xu Xiang, Fei Zhao +2

Data augmentation is commonly used to help build a robust speaker verification system, especially in limited-resource case. However, conventional data augmentation methods usually…

cs.SD20208 cited

The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020

Xu Xiang

This report describes the systems submitted to the first and second tracks of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020, which ranked second in both tracks. Three ke…

eess.AS201922 cited

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Xu Xiang, Shuai Wang, Houjun Huang +2

Recently, speaker embeddings extracted from a speaker discriminative deep neural network (DNN) yield better performance than the conventional methods such as i-vector. In most case…