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HomeBenchmarksspeech to textCommon Voice 15

speech to text benchmark

Common Voice 15

Common Voice is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Version 15.0 contains 28,750 recorded hours across 114 languages, consisting of crowdsourced voice recordings with corresponding transcriptions.

Updated Aug 7, 2026

Published models1
Registry coverage1
MetricScore
EvidenceB

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Common Voice 15 leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

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1ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team0.076 points100.0%1CAug 7, 2026

Common Voice 15 highlights

The top published results on this benchmark's own scale.

Rank #1Qwen2.5-Omni-7B0.076 points

What is Common Voice 15?

Definition and scoring fields from the benchmark registry.

Common Voice is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Version 15.0 contains 28,750 recorded hours across 114 languages, consisting of crowdsourced voice recordings with corresponding transcriptions.

Scores are shown in points. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Common Voice 15
Modality
audio
Primary category
speech to text
Score direction
higher
LLMBoard eligible
No
Evaluation key
common-voice-15|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about Common Voice 15.

Which model scores highest on Common Voice 15?

Qwen2.5-Omni-7B is currently ranked first with 0.076 points.

What does Common Voice 15 measure?

Common Voice is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Version 15.0 contains 28,750 recorded hours across 114 languages, consisting of crowdsourced voice recordings with corresponding transcriptions.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

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