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Wespeaker baselines for VoxSRC2023
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge.
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
This report describes the systems submitted to the first and second tracks of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020, which ranked second in both tracks.
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
The proposed approach can achieve the state-of-the-art performance, with 25% ~ 30% equal error rate (EER) reduction on both tasks when compared to strong baselines using cross entropy loss with softmax, obtaining 2. 238% EER on VoxCeleb1 test set and 2. 761% EER on SITW core-core test set, respectively.
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