---
title: "VoxCeleb: tasks, downloads and usage conditions"
description: "VoxCeleb: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/voxceleb
markdown_url: https://scholar4ai.com/datasets/voxceleb.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "VoxCeleb: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends. (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# VoxCeleb

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/7.md)

Speech, speaker and sound collections.

- data category: Speech and audio benchmarks
- 0 papers in the last 7 days
- Names searched for: VoxCeleb

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Speech and audio benchmarks datasets: https://scholar4ai.com/datasets/speech-and-audio-benchmarks.md

## Tasks, access and usage conditions

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. | [Official source / documentation](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/) 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. |

Guide updated 2026-11-05.

## Key findings

- 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.

## Mentions over 36 months

*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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 13 | 6 | 5 | 24 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 3 | 0 | 1 | 2 | 6 | 13 | 6 | 4 |
| All categories | 0 | 0 | 3 | 0 | 1 | 2 | 6 | 13 | 6 | 4 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 6 |
| 2 | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 5 |
| 3 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 4 |
| 4 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 3 |
| 5 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 3 |
| 6 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 3 |
| 7 | [Pattern Recognition Letters](https://scholar4ai.com/journals/pattern-recognition-letters.md) | 1 |
| 8 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| 9 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| 10 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 3 |
| 2 | [Alibaba Group (China)](https://scholar4ai.com/companies/alibaba-group-china.md) | 2 |
| 3 | Beijing National Research Center for Information Science and Technology | 2 |
| 4 | State Key Laboratory of Intelligent Technology and Systems | 2 |
| 5 | [University of Salerno](https://scholar4ai.com/institutions/university-of-salerno.md) | 2 |
| 6 | Alberta Machine Intelligence Institute | 1 |
| 7 | Ariel University | 1 |
| 8 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 1 |
| 9 | Beijing Information Science & Technology University | 1 |
| 10 | Brno University of Technology | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 12 |
| 2 | France | 4 |
| 3 | United Kingdom | 4 |
| 4 | Canada | 3 |
| 5 | India | 3 |
| 6 | Italy | 3 |
| 7 | South Korea | 3 |
| 8 | Australia | 2 |
| 9 | Finland | 2 |
| 10 | Hong Kong | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | VoxCeleb | 7 |
| 2 | speaker embedding | 4 |
| 3 | speaker identification | 4 |
| 4 | speaker verification | 4 |
| 5 | [diffusion models](https://scholar4ai.com/keywords/diffusion-models.md) | 3 |
| 6 | face reenactment | 3 |
| 7 | [self-supervised learning](https://scholar4ai.com/keywords/self-supervised-learning.md) | 3 |
| 8 | Mel-frequency cepstral coefficients | 2 |
| 9 | cognitive robotics | 2 |
| 10 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 663 | 7.8 | [Voxceleb: Large-scale speaker verification in the wild](https://doi.org/10.1016/j.csl.2019.101027) | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 2019-10-16 | Arsha Nagrani, Joon Son Chung, Weidi Xie et al. |
| 2 | 64 | 2.0 | [Deep Learning for Visual Speech Analysis: A Survey](https://doi.org/10.1109/tpami.2024.3376710) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-03-13 | Changchong Sheng, Gangyao Kuang, Liang Bai et al. |
| 3 | 60 | 2.9 | [AttriDiffuser: Adversarially enhanced diffusion model for text-to-facial attribute image synthesis](https://doi.org/10.1016/j.patcog.2025.111447) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2025-02-15 | Wenfeng Song, Zhongyong Ye, Meng Sun et al. |
| 4 | 44 | 0.5 | [Voice Mimicry Attacks Assisted by Automatic Speaker Verification](https://doi.org/10.1016/j.csl.2019.05.005) | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 2019-06-12 | Ville Vestman, Tomi Kinnunen, Rosa González Hautamäki et al. |
| 5 | 42 | 1.6 | [LIA: Latent Image Animator](https://doi.org/10.1109/tpami.2024.3449075) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-23 | Yaohui Wang, Di Yang, François Brémond et al. |

## Used together with

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.

*What papers use VoxCeleb together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 10 | 7.4 |
| [LibriSpeech](https://scholar4ai.com/datasets/librispeech.md) | Dataset | 6 | 134.4 |
| [Face recognition (LFW, CelebA, VGGFace2)](https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2.md) | Dataset | 4 | 18.5 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 3 | 1.7 |
| [Speech emotion (IEMOCAP, RAVDESS)](https://scholar4ai.com/datasets/speech-emotion-iemocap-ravdess.md) | Dataset | 3 | 25.6 |
| [TIMIT](https://scholar4ai.com/datasets/timit.md) | Dataset | 3 | 89.1 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). VoxCeleb. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/voxceleb

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).