---
title: "Common Voice: tasks, downloads and usage conditions"
description: "Common Voice: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/common-voice
markdown_url: https://scholar4ai.com/datasets/common-voice.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Common Voice: 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)
---

# Common Voice

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

Speech, speaker and sound collections.

- data category: Speech and audio benchmarks
- 0 papers in the last 7 days
- Names searched for: Mozilla Common Voice, Common Voice dataset, Common Voice corpus

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 |
|---|---|---|---|
| Common Voice — versioned language releases | Multilingual speech recognition; language, scripted/spontaneous collection and hours vary by release. Evaluation: Use speaker-disjoint train/dev/test sets and language-specific WER/CER normalization; do not compare different releases as the same benchmark. | [Official source / documentation](https://commonvoice.mozilla.org/en/datasets) [Access / terms details](https://community.mozilladatacollective.com/faq-why-cant-i-re-host-or-share-common-voice-datasets-that-i-download-from-mdc/) Obtain the chosen release through Mozilla Data Collective; record language, release, validated hours and speaker split. | Common Voice releases use CC0; Mozilla Data Collective also applies access/platform terms, including restrictions on re-hosting. Read both the dataset card and platform agreement. |

Guide updated 2026-11-05.

## Key findings

- From Nov 2023 to Oct 2026, 10 archived papers mentioned Common Voice in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (1).
- No paper of the tracked journals mentioned Common Voice in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), Common Voice was mentioned in 10 papers in the tracked journals, most of them in AI (10).
- 2 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Alibaba Group (China) (1), Alpineon (Slovenia) (1) and Barcelona Supercomputing Center (1).
- The journals publishing most of them were Computer Speech & Language (3), Artificial Intelligence Review (2) and IEEE Transactions on Pattern Analysis and Machine Intelligence (1).
- The most-cited of them is “Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025), with 67 citations.

## 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 |
|---|---:|---:|---:|---:|
|  | 5 | 2 | 3 | 10 |

## 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 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 2 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 2 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 3 |
| 2 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 3 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |
| 4 | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 1 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| 6 | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 1 |
| 7 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Alibaba Group (China)](https://scholar4ai.com/companies/alibaba-group-china.md) | 1 |
| 2 | Alpineon (Slovenia) | 1 |
| 3 | Barcelona Supercomputing Center | 1 |
| 4 | [City University of Macau](https://scholar4ai.com/institutions/city-university-of-macau.md) | 1 |
| 5 | [Deakin University](https://scholar4ai.com/institutions/deakin-university.md) | 1 |
| 6 | German Research Centre for Artificial Intelligence | 1 |
| 7 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 1 |
| 8 | [Hong Kong Baptist University](https://scholar4ai.com/institutions/hong-kong-baptist-university.md) | 1 |
| 9 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 1 |
| 10 | International Institute for Carbon-Neutral Energy Research, Kyushu University | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 3 |
| 2 | Hong Kong | 2 |
| 3 | Japan | 2 |
| 4 | United Arab Emirates | 1 |
| 5 | Australia | 1 |
| 6 | Canada | 1 |
| 7 | Germany | 1 |
| 8 | Spain | 1 |
| 9 | United Kingdom | 1 |
| 10 | Italy | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | speech recognition | 3 |
| 2 | low-resource languages | 2 |
| 3 | text-to-speech | 2 |
| 4 | [AI ethics](https://scholar4ai.com/keywords/ai-ethics.md) | 1 |
| 5 | Catalan | 1 |
| 6 | Catalan dialects | 1 |
| 7 | Central Catalan | 1 |
| 8 | Common Voice | 1 |
| 9 | DenseNet | 1 |
| 10 | English dialects | 1 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 67 | 3.2 | [Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts](https://doi.org/10.1109/tpami.2025.3532688) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2025-02-13 | Yunxin Li, Shenyuan Jiang, Baotian Hu et al. |
| 2 | 22 | 0.7 | [Chinese dialect speech recognition: a comprehensive survey](https://doi.org/10.1007/s10462-023-10668-0) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-01-31 | Qiang Li, Qianyu Mai, Mandou Wang et al. |
| 3 | 19 | 0.7 | [MPSA-DenseNet: A novel deep learning model for English accent classification](https://doi.org/10.1016/j.csl.2024.101676) | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 2024-05-30 | Tianyu Song, Linh Thi Hoai Nguyen, Tôn Việt Tạ |
| 4 | 18 | 0.5 | [Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics](https://doi.org/10.1007/s12559-023-10241-5) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2024-02-05 | Pasquale Foggia, Antonio Greco, Antonio Roberto et al. |
| 5 | 12 | 0.4 | [Adaptive unified defense framework for tackling adversarial audio attacks](https://doi.org/10.1007/s10462-024-10863-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-07-26 | Xia Du, Qi Zhang, Jia-Jie Zhu et al. |

## Cite this page

Scholar4AI. (2026). Common Voice. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/common-voice

```bibtex
@misc{scholar4ai-datasets-common-voice,
  author = {{Scholar4AI}},
  title = {Common Voice},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/common-voice}},
  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/).