paza-bench / README.md
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A newer version of the Gradio SDK is available: 6.9.0

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metadata
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).