README.md

---
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)**.