GeoDatum/shago-stt-hausa

# Shago STT Hausa A Speech-to-Text application for the Hausa language using open-source models. ## Project Overview This project aims to develop a robust Speech-to-Text (STT) application specifically designed for the Hausa language. Hausa is one of the most widely spoken languages in West and Central Africa, with over 70 million native speakers, yet it remains underrepresented in modern speech recognition technologies. ## Objectives - Create an accurate and efficient Hausa speech recognition system - Leverage existing open-source STT models and frameworks - Provide an accessible interface for Hausa speech-to-text conversion - Support various audio formats and real-time speech recognition - Contribute to the preservation and digitization of the Hausa language ## Planned Features ### Core Functionality - **Real-time Speech Recognition**: Convert live Hausa speech to text - **Audio File Processing**: Support for various audio formats (WAV, MP3, FLAC, etc.) - **Batch Processing**: Process multiple audio files simultaneously - **Text Output**: Clean, formatted text output with punctuation ### Technical Features - **Multiple Model Support**: Integration with various open-source STT models - **Model Comparison**: Benchmark different models for Hausa language accuracy - **Preprocessing Pipeline**: Audio normalization and enhancement - **Post-processing**: Text cleaning and formatting - **API Interface**: RESTful API for integration with other applications ### User Interface - **Web Interface**: Browser-based application for easy access - **Command Line Tool**: CLI for batch processing and automation - **Mobile-friendly**: Responsive design for mobile devices ## Technology Stack ### Open-Source STT Models (To Evaluate) - **Whisper (OpenAI)**: Multilingual speech recognition model - **Wav2Vec2**: Facebook's self-supervised speech representation learning - **SpeechRecognition**: Python library with multiple engine support - **Coqui STT**: Open-source speech-to-text …