Audio highlight extractor using chroma and energy analysis
Project description
highlight_extractor
🎧 A Python package to extract highlight segments from songs using chroma repetition and energy analysis.
Features
- Detects repeated musical segments via chroma similarity
- Combines with energy-based peak detection
- Filters out intro/outro noise and fade-outs
- Outputs the most suitable highlight section (default 15s)
Installation
From GitHub
pip install git+https://github.com/yourusername/highlight_extractor.git
🧱 Project Structure
highlight_extractor/
├── highlight_extractor/
│ ├── __init__.py
│ └── core.py
├── examples/
│ └── run_example.py
├── setup.py
├── pyproject.toml
├── requirements.txt
├── README.md
└── LICENSE
⚙️ Dependencies
- librosa
- numpy
- scipy
- pydub
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
✨ Author
- Developed by Marohan Min
- GitHub: @marohan
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