Mention counts below measure name matches in tracked papers, not benchmark quality or downloads. A family count can cover multiple datasets; it is not a separate count for each comparison row. Choose a task and version first, preserve evaluation splits, and follow the linked release terms. The site's content license does not replace the datasets' own terms.
Dataset comparison: tasks, access and usage conditions
Dataset / version
Task and evaluation
Access and preparation
Usage conditions
VoxCeleb1 / VoxCeleb2
Speaker identification/verification from interview speech; these are not transcript-based ASR benchmarks.
Evaluation: Report EER/minDCF, trial list and speaker overlap with training/pretraining; report unavailable recordings.
Use the Oxford release instructions for the named version and verification trial list; check current audio availability.
Follow the release’s terms and dataset privacy notice, alongside source-media rights. Do not substitute a code repository license for recording permissions.
From Nov 2023 to Oct 2026, 24 archived papers mentioned VoxCeleb in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (4).
No paper of the tracked journals mentioned VoxCeleb in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), VoxCeleb was mentioned in 35 papers in the tracked journals, most of them in AI (35).
6 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Tsinghua University (3), Alibaba Group (China) (2) and Beijing National Research Center for Information Science and Technology (2).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (6), Computer Speech & Language (5) and Expert Systems with Applications (4).
The most-cited of them is “Voxceleb: Large-scale speaker verification in the wild” (Computer Speech & Language, 2019), with 663 citations.
Papers use VoxCeleb most often with YouTube / TikTok (10), LibriSpeech (6) and Face recognition (LFW, CelebA, VGGFace2) (4); it has 6 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use VoxCeleb most often with YouTube / TikTok (10), LibriSpeech (6) and Face recognition (LFW, CelebA, VGGFace2) (4); it has 6 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use VoxCeleb together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). VoxCeleb. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/voxceleb
@misc{scholar4ai-datasets-voxceleb,
author = {{Scholar4AI}},
title = {VoxCeleb},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/voxceleb}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).