Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Common Voice

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data category: Speech and audio benchmarks · 0 papers in the last 7 days

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Names searched for: Mozilla Common Voice, Common Voice dataset, Common Voice corpus

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 / versionTask and evaluationAccess and preparationUsage conditions
Common Voice — versioned language releasesMultilingual 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 Access / terms details

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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
52310

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 0 papers2024: 6 papers2025: 2 papers2026 (so far): 2 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0000000622
All categories0000000622

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Alibaba Group (China)1
2Alpineon (Slovenia)1
3Barcelona Supercomputing Center1
4City University of Macau1
5Deakin University1
6German Research Centre for Artificial Intelligence1
7Harbin Institute of Technology1
8Hong Kong Baptist University1
9Hong Kong University of Science and Technology1
10International Institute for Carbon-Neutral Energy Research, Kyushu University1
Countries with the most papers, since 2023
#CountryPapers
1China3
2Hong Kong2
3Japan2
4United Arab Emirates1
5Australia1
6Canada1
7Germany1
8Spain1
9United Kingdom1
10Italy1
Keywords with the most papers, since 2023
#KeywordPapers
1speech recognition3
2low-resource languages2
3text-to-speech2
4AI ethics1
5Catalan1
6Catalan dialects1
7Central Catalan1
8Common Voice1
9DenseNet1
10English dialects1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1673.2Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of ExpertsIEEE Transactions on Pattern Analysis and Machine Intelligence2025-02-13Yunxin Li, Shenyuan Jiang, Baotian Hu et al.
2220.7Chinese dialect speech recognition: a comprehensive surveyArtificial Intelligence Review2024-01-31Qiang Li, Qianyu Mai, Mandou Wang et al.
3190.7MPSA-DenseNet: A novel deep learning model for English accent classificationComputer Speech & Language2024-05-30Tianyu Song, Linh Thi Hoai Nguyen, Tôn Việt Tạ
4180.5Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive RoboticsCognitive Computation2024-02-05Pasquale Foggia, Antonio Greco, Antonio Roberto et al.
5120.4Adaptive unified defense framework for tackling adversarial audio attacksArtificial Intelligence Review2024-07-26Xia Du, Qi Zhang, Jia-Jie Zhu et al.

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.

Cite this page

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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).