The HCCL system for VoxCeleb Speaker Recognition Challenge 2022
Zhenduo Zhao, Zhuo Li, Wenchao Wang, Pengyuan Zhang
TL;DR
This paper presents the HCCL system developed for VoxCeleb Speaker Recognition Challenge 2022, achieving competitive results in speaker verification metrics across two challenge tracks.
Contribution
The paper introduces the HCCL system tailored for VoxSRC2022, detailing its design and performance in speaker recognition tasks.
Findings
Achieved minDCF 0.1397 and EER 2.414 in track1
Achieved minDCF 0.388 and EER 7.030 in track3
Demonstrated competitive performance in VoxCeleb challenge
Abstract
This report describes our submission to track1 and track3 for VoxCeleb Speaker Recognition Challenge 2022(VoxSRC2022). Our best system achieves minDCF 0.1397 and EER 2.414 in track1, minDCF 0.388 and EER 7.030 in track3.
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Taxonomy
TopicsSpeech Recognition and Synthesis · Natural Language Processing Techniques