The Whisper Large V3 demo converts uploaded or recorded speech into text through a Hugging Face Space.
ASR Leaderboard
Open ASR Leaderboard compares automatic speech-recognition models using tables of word-error rate and processing speed, with language and dataset filters.
About ASR Leaderboard
The Open ASR Leaderboard is a web-based tool hosted on Hugging Face Spaces, designed to compare the performance of automatic speech recognition (ASR) models. It presents results in clear, sortable tables that display core performance metrics for each evaluated model, making it easy to scan and compare options at a glance.
Users can apply filters to narrow down results based on language, dataset, or private test sets, so they only see models relevant to their specific use case. The tool is built for researchers, developers, and machine learning practitioners who need objective, standardized data to select or evaluate ASR models for projects involving speech-to-text functionality.
Key features
- Displays ASR model performance in sortable comparison tables
- Filters results by language, dataset, or private test sets
- Compares models using word error rate and processing speed metrics
- Accessible directly via web browser with no local setup
Best for: It is most useful for researchers, developers, and machine learning practitioners evaluating automatic speech recognition model performance.
Good for
- Provides standardized, objective performance metrics for ASR models
- Customizable filters let users narrow comparisons to relevant use cases
- No local installation required, accessible via any web browser
Watch out for
- Underlying code and data sources are not publicly available
- Only includes pre-loaded ASR models and datasets, no user submissions
ASR Leaderboard at a glance
- Category
- Online Tools › Text Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ASR Leaderboard FAQ
What metrics are used to compare ASR models on the leaderboard?
The leaderboard uses word error rate and processing speed to evaluate and compare automatic speech recognition model performance.
Can I filter results by language or dataset?
Yes, you can apply filters for language, dataset, or private test sets to narrow the displayed model comparisons.
Do I need to install software to use this tool?
No, it is a web-based tool accessible directly in your browser with no local installation required.
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