Current speaker recognition systems primarily rely on supervised approac...
Deep neural network-based systems have significantly improved the perfor...
The mismatch between close-set training and open-set testing usually lea...
This report showcases the results achieved using the wespeaker toolkit f...
This paper proposes a novel Attention-based Encoder-Decoder network for
...
Automatic speaker verification task has made great achievements using de...
Different speaker recognition challenges have been held to assess the sp...
Speaker modeling is essential for many related tasks, such as speaker
re...
In real application scenarios, it is often challenging to obtain a large...
This report describes the SJTU-AISPEECH system for the Voxceleb Speaker
...
This paper presents the SJTU system for both text-dependent and
text-ind...
For self-supervised speaker verification, the quality of pseudo labels
d...
This technical report describes the SJTU X-LANCE Lab system for the thre...
Self-supervised learning (SSL) achieves great success in speech recognit...
The speech representations learned from large-scale unlabeled data have ...
Self-supervised learning (SSL) is a long-standing goal for speech proces...
Large performance degradation is often observed for speaker ver-ificatio...