Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022
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Abstract (arXiv)
Many speaker recognition challenges have been held to assess the speaker verification system in the wild and probe the performance limit. Voxceleb Speaker Recognition Challenge (VoxSRC), based on the voxceleb, is the most popular. Besides, another challenge called CN-Celeb Speaker Recognition Challenge (CNSRC) is also held this year, which is based on the Chinese celebrity multi-genre dataset CN-Celeb. This year, our team participated in both speaker verification closed tracks in CNSRC 2022 and VoxSRC 2022, and achieved the 1st place and 3rd place respectively. In most system reports, the authors usually only provide a description of their systems but lack an effective analysis of their methods. In this paper, we will outline how to build a strong speaker verification challenge system and give a detailed analysis of each method compared with some other popular technical means.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Nov 2022.
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Citing papers per year: 2024: 3.
3 papers.
- 2024ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf modelscited by 22
- 2024Adversarial Data Augmentation for Robust Speaker Verificationcited by 1
- 2024LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verificationcited by 0
- 2024LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verification8 Feb 2024
- 2024Adversarial Data Augmentation for Robust Speaker Verification5 Feb 2024
- 2024ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models30 Jan 2024