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eess.AS2023
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Shuai Wang, Qibing Bai, Qi Liu +5
Current speaker recognition systems primarily rely on supervised approaches, constrained by the scale of labeled datasets. To boost the system performance, researchers leverage lar…
eess.AS2023
Exploring Binary Classification Loss For Speaker Verification
Bing Han, Zhengyang Chen, Yanmin Qian
The mismatch between close-set training and open-set testing usually leads to significant performance degradation for speaker verification task. For existing loss functions, metric…
eess.AS2023
Wespeaker baselines for VoxSRC2023
Shuai Wang, Chengdong Liang, Xu Xiang +4
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge. Our aim is to provide participants, especially those with limited experience, w…