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The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021

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arxiv 2109.01989 v1 pith:T3VIWWIM submitted 2021-09-05 cs.SD eess.AS

Miao Zhao , Yufeng Ma , Min Liu , Minqiang Xu This is my paper
classification cs.SDeess.AS
keywords trackspeakersystemrecognitionreportsubmissionvoxcelebvoxsrc
verification ladder T0 review T1 audit T2 compute T3 formal
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This report describes our submission to the track 1 and track 2 of the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC 2021). Both track 1 and track 2 share the same speaker verification system, which only uses VoxCeleb2-dev as our training set. This report explores several parts, including data augmentation, network structures, domain-based large margin fine-tuning, and back-end refinement. Our system is a fusion of 9 models and achieves first place in these two tracks of VoxSRC 2021. The minDCF of our submission is 0.1034, and the corresponding EER is 1.8460%.

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    Auxiliary geolocation prediction with injected conditioning signals improves dialect and accent robustness in SSL-based spoken language identification, reaching new SOTA on FLEURS and ML-SUPERB 2.0.

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