The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
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Abstract (arXiv)
We describe the Phonexia submission for the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21) in the unsupervised speaker verification track. Our solution was very similar to IDLab's winning submission for VoxSRC-20. An embedding extractor was bootstrapped using momentum contrastive learning, with input augmentations as the only source of supervision. This was followed by several iterations of clustering to assign pseudo-speaker labels that were then used for supervised embedding extractor training. Finally, a score fusion was done, by averaging the zt-normalized cosine scores of five different embedding extractors. We briefly also describe unsuccessful solutions involving i-vectors instead of DNN embeddings and PLDA instead of cosine scoring.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 16 references that are in the map. First posted on arXiv 5 Sep 2021.
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8 of 16 references.
References · 8
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- 2020The IDLAB VoxCeleb Speaker Recognition Challenge 2020 System Descriptioncited by 16
- 2021Out of a hundred trials, how many errors does your speaker verifier make?cited by 4
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.