README.md

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: 6.20.0
tags:
  - leaderboard

PazaBench Leaderboard

An Automatic Speech Recognition (ASR) benchmark for low-resource languages developed by Microsoft Research Africa, Nairobi Lab. In the latest release, PazaBench covers 61 African Languages across 53 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).