wakanda-whisper-asr / README.md
ElvisTata2024's picture
Upload folder using huggingface_hub
1f9fa5b verified
---
title: Wakanda Kinyarwanda ASR
emoji: 🎀
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.38.2
app_file: app.py
pinned: false
license: apache-2.0
tags:
- speech-recognition
- kinyarwanda
- whisper
- wakanda-ai
- audio-to-text
models:
- WakandaAI/wakanda-whisper-small-rw-v1
languages:
- rw
---
# 🎀 Wakanda Whisper - Kinyarwanda ASR
A state-of-the-art automatic speech recognition system specifically fine-tuned for Kinyarwanda language, built on OpenAI's Whisper architecture.
## 🌟 Features
- **High Accuracy**: Fine-tuned specifically for Kinyarwanda speech patterns
- **Multiple Input Methods**: Upload audio files or record directly through microphone
- **Format Support**: Supports WAV, MP3, M4A, FLAC, and other common audio formats
- **Real-time Processing**: Fast inference with optimized performance
- **User-friendly Interface**: Beautiful and intuitive web interface
## πŸš€ Model Details
- **Base Architecture**: OpenAI Whisper Small
- **Language**: Kinyarwanda (rw)
- **Parameters**: ~39M
- **Training Data**: Curated Kinyarwanda speech dataset
- **Model Repository**: [WakandaAI/wakanda-whisper-small-rw-v1](https://huggingface.co/WakandaAI/wakanda-whisper-small-rw-v1)
## 🎯 How to Use
### Option 1: Upload Audio File
1. Click on the "Upload Audio File" tab
2. Select your Kinyarwanda audio file
3. Click "Transcribe Audio" to get the text
### Option 2: Record Audio
1. Click on the "Record Audio" tab
2. Click the microphone button to start recording
3. Speak in Kinyarwanda
4. Stop recording and click "Transcribe Recording"
## πŸ“Š Performance
This model has been optimized for:
- Clear speech recognition in various acoustic conditions
- Multiple Kinyarwanda dialects and accents
- Noise robustness for real-world audio
- Fast processing suitable for real-time applications
## 🀝 About WakandaAI
WakandaAI is dedicated to advancing AI technologies for African languages and communities. This project is part of our mission to make speech recognition accessible in Kinyarwanda.
---
*Built with ❀️ for the Kinyarwanda-speaking community*