Thank you for your interest in contributing to BanglaSTT! This guide will help you get started with contributing to our Bangla speech-to-text transcription tool.
By contributing to BanglaSTT, you're helping make speech recognition technology more accessible to the 230+ million Bangla speakers worldwide. Every contribution, no matter how small, makes a difference!
# Fork the repository on GitHub, then clone your fork
git clone https://github.com/Ratul345/BanglaSTT.git
cd banglastt# Create virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Install development dependencies
pip install pytest black flake8- Create a new branch for your feature/fix
- Make your changes
- Test thoroughly
- Submit a pull request
Found a bug? Help us fix it!
How to report:
- Check if the bug already exists in Issues
- Create a new issue with the bug report template
- Include:
- Steps to reproduce
- Expected vs actual behavior
- System information (OS, Python version)
- Error messages (if any)
- Sample files (if relevant)
Have a great idea? Share it with us!
Popular feature areas:
- Real-time microphone input
- Batch file processing
- Subtitle file export (SRT)
- Web interface
- Mobile app
- API service
- Better error handling
- Performance improvements
Areas where help is needed:
- Error handling: Better error messages and recovery
- Performance: Optimize transcription speed
- Memory usage: Reduce RAM usage for large files
- Model management: Automatic model downloading
- Audio preprocessing: Noise reduction, normalization
- macOS optimization: Better FFmpeg integration
- Linux packaging: .deb, .rpm packages
- Windows installer: Setup wizard
- Docker support: Containerized deployment
- GUI application: Desktop interface
- Progress bars: Show transcription progress
- Better CLI: More intuitive commands
- Configuration files: Save user preferences
- Unit tests: Test individual functions
- Integration tests: Test end-to-end workflows
- Performance benchmarks: Speed and accuracy tests
- Audio samples: More Bangla test files
Help make our documentation better!
Documentation areas:
- Tutorials: Step-by-step guides
- API documentation: Function references
- Video tutorials: Screen recordings
- Bangla documentation: Localized guides
- Examples: More usage examples
- Troubleshooting: Common issues and solutions
Help us test with more Bangla audio!
We need:
- Different accents and dialects
- Various audio qualities
- Different speaking speeds
- Background noise samples
- Long-form content (lectures, interviews)
- Short-form content (voice messages, commands)
Privacy: Only share audio you have permission to use!
We follow Python best practices:
# Use descriptive function names
def validate_audio_file(file_path: str) -> bool:
"""Validate if the provided file path exists and has a supported audio format."""
# Implementation here
pass
# Add type hints
def transcribe_audio(audio_path: str, model_size: str = "base") -> Optional[str]:
"""Transcribe audio file to Bangla text using OpenAI Whisper."""
pass
# Use meaningful variable names
is_valid = validate_audio_file("audio.mp3")
# Add comprehensive docstrings
def setup_ffmpeg_windows() -> Optional[str]:
"""
Set up FFmpeg for Windows systems by finding and configuring the executable path.
Returns:
str: Path to FFmpeg executable if successful, None otherwise
Raises:
ImportError: If imageio-ffmpeg is not installed
"""Before submitting:
-
Run existing tests:
pytest tests/
-
Test your changes manually:
# Test basic functionality python transcribe.py test_audio.mp3 # Test with different models python transcribe.py test_audio.mp3 --model small # Test error handling python transcribe.py nonexistent.mp3
-
Test on different platforms if possible
Use clear, descriptive commit messages:
# Good examples
feat: add real-time microphone transcription
fix: resolve FFmpeg path issue on Windows 11
docs: update installation guide for Python 3.11
test: add unit tests for audio validation
perf: optimize model loading speed by 40%
# Bad examples
fix stuff
update code
changes- Create a descriptive title
- Write a clear description of changes
- Reference related issues (#123)
- Include screenshots for UI changes
- Test thoroughly before submitting
- Be responsive to feedback
banglastt/
βββ transcribe.py # Main transcription script
βββ requirements.txt # Dependencies
βββ README.md # User documentation
βββ CONTRIBUTING.md # This file
βββ tests/ # Test files
βββ docs/ # Documentation
βββ examples/ # Example audio files
βββ utils/ # Utility scripts
What we look for:
- β Code follows Python best practices
- β Functions have proper docstrings
- β Error handling is comprehensive
- β Tests are included
- β Documentation is updated
- β No breaking changes (unless necessary)
Review timeline: We aim to review PRs within 3-7 days.
Contributors will be:
- π Listed in our README.md
- π·οΈ Tagged in release notes
- ποΈ Given contributor badges
- π’ Mentioned in our social media
Stuck? Need help?
- Check existing issues and documentation
- Join our discussions on GitHub
- Ask questions in issue comments
- Reach out to maintainers
We're here to help! Don't hesitate to ask questions. Every expert was once a beginner! π
New to open source? Start here!
Good first issues:
- π Fix typos in documentation
- π Add more examples to README
- π¨ Improve error messages
- π Add more Bangla test audio
- π§ Fix code formatting
- β Add unit tests
Look for the good-first-issue label in our issues!
For experienced developers:
- π― Implement real-time transcription
- π Add multi-language support
- π± Create mobile app
- π Build web interface
- β‘ Optimize performance
- π Add security features
Want to learn more?
- Python: Python.org tutorial
- OpenAI Whisper: Official documentation
- Git/GitHub: GitHub Guides
- Open Source: First Contributions
- Speech Recognition: Coursera course
High priority:
- π Bug fixes and stability
- π More comprehensive testing
- π Better documentation
- ποΈ More Bangla audio samples
Medium priority:
- β‘ Performance improvements
- π¨ Better user interface
- π§ Enhanced error handling
- π Platform-specific optimizations
Low priority:
- π Web interface
- π± Mobile app
- π― Real-time transcription
- π Advanced features
Thank you for contributing to BanglaSTT! π
Every contribution, no matter how small, helps make speech recognition more accessible to the Bangla-speaking community. You're not just contributing to a project - you're helping democratize AI technology for millions of people! π
Ready to start? Pick an issue, fork the repo, and make your first contribution today! π
Happy coding! π»β¨