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pro vyhledávání: '"Huang, Houjun"'
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 (VoxSRC), based on the voxceleb, is the most popular. Besides, another ch
Externí odkaz:
http://arxiv.org/abs/2211.00815
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 offline system. Different ResNet-based backbones and loss functions are exp
Externí odkaz:
http://arxiv.org/abs/2209.09076
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, only 160-hour accented English data collected from 8 countries and the a
Externí odkaz:
http://arxiv.org/abs/2102.09828
Data augmentation is commonly used to help build a robust speaker verification system, especially in limited-resource case. However, conventional data augmentation methods usually focus on the diversity of acoustic environment, leaving the lexicon va
Externí odkaz:
http://arxiv.org/abs/2102.09817
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 cases, the DNN speaker classifier is trained using cross entropy loss with
Externí odkaz:
http://arxiv.org/abs/1906.07317
Autor:
Zhang, Yi, Huang, Houjun, Zhang, Haifeng, Ni, Liao, Xu, Wei, Ahmed, Nasir Uddin, Ahmed, Md. Shakil, Jin, Yilun, Chen, Yingjie, Wen, Jingxuan, Li, Wenxin
In recent years, finger vein recognition has become an important sub-field in biometrics and been applied to real-world applications. The development of finger vein recognition algorithms heavily depends on large-scale real-world data sets. In order
Externí odkaz:
http://arxiv.org/abs/1801.01262
Autor:
Yuan, Chang-Min, Cai, Jian, Chen, Qing-Jun, Liu, Xinpei, Huang, Houjun, Zuo, Zhiliang, He, An
Publikováno v:
In Journal of Building Engineering 15 October 2022 58
Finger vein verification has developed a lot since its first proposal, but there is still not a perfect algorithm. It is proved that algorithms with the same overall accuracy may have different misclassified patterns. We could make use of this comple
Externí odkaz:
http://arxiv.org/abs/1612.05712
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