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| title: PazaBench | |
| emoji: 🥇 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| short_description: ASR Leaderboard for low resource languages | |
| sdk_version: 6.2.0 | |
| tags: | |
| - leaderboard | |
| # PazaBench Leaderboard | |
| An Automatic Speech Recognition (ASR) benchmark for low-resource languages developed by **Microsoft Research Africa, Nairobi Lab**. Launching with **39 African Languages** across **52 State-of-the-Art ASR and Language Models**, PazaBench compares three key metrics: **Character Error Rate (CER)**, **Word Error Rate (WER)**, and **RTFx (Inverse Real-Time Factor)**. | |