mlsanityData to 7 Oct 2026

VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge

arXiv 2302.10248 ↗First posted 20 Feb 2023cs.SD cs.LG eess.AScited by 8

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Abstract (arXiv)

This paper summarises the findings from the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22), which was held in conjunction with INTERSPEECH 2022. The goal of this challenge was to evaluate how well state-of-the-art speaker recognition systems can diarise and recognise speakers from speech obtained "in the wild". The challenge consisted of: (i) the provision of publicly available speaker recognition and diarisation data from YouTube videos together with ground truth annotation and standardised evaluation software; and (ii) a public challenge and hybrid workshop held at INTERSPEECH 2022. We describe the four tracks of our challenge along with the baselines, methods, and results. We conclude with a discussion on the new domain-transfer focus of VoxSRC-22, and on the progression of the challenge from the previous three editions.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 44 of its 49 references that are in the map. First posted on arXiv 20 Feb 2023.

Builds on

44 of 49 references.

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32 more
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Cited by year

Citing papers per year: 2023: 1; 2024: 7.

8 papers.

  1. 2024What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysiscited by 10
  2. 2024The VoxCeleb Speaker Recognition Challenge: A Retrospectivecited by 9
  3. 2024Self-Tuning Spectral Clustering for Speaker Diarizationcited by 3
  4. 2024Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verificationcited by 2
  5. 2024Investigation of Speaker Representation for Target-Speaker Speech Processingcited by 2
  6. 2024Adversarial Data Augmentation for Robust Speaker Verificationcited by 1
  7. 2023VoxWatch: An open-set speaker recognition benchmark on VoxCelebcited by 0
  8. 2024Efficient Multi-Model Fusion with Adversarial Complementary Representation Learningcited by 0