# freqsplit An evolving **audio processing pipeline** designed to separate and enhance audio components using open-source tools. The project aims to provide a modular framework for working with raw audio files, enabling separation, refinement, and post-processing. --- **Current Features** - **Audio Input Handling**: Uses librosa for reading and handling audio files. - **Preprocessing**: Includes resampling, normalization, and trimming using librosa. - **Audio Classification**: Utilizes panns-interference model trained on Google's Audioset to classify audio content. - **Source Separation**: Implements Demucs for music source separation. - **Noise Reduction**: Enhances audio by removing background noise using DeepFilterNet. - **Post-Processing**: Uses librosa to save processed audio files. - **Modular Architecture**: Designed for easy extension and customization. --- **Project Structure** ```bash freqsplit/ ├── api/ # API implementation (django, redis, celery) ├── client/ # Client-side interactions (vite, react, typescript) ├── LICENSE # License file ├── pyproject.toml # Project metadata and dependencies ├── pytest.ini # Pytest configuration ├── README.md # Project documentation ├── requirements.txt # Python dependencies ├── src/ # Core processing modules │ ├── freqsplit/ # Main package directory │ │ ├── __init__.py # Package initialization │ │ ├── input/ # Audio input handling │ │ ├── preprocessing/ # Normalization, resampling, trimming │ │ ├── separation/ # Source separation with Demucs │ │ ├── postprocessing/ # Post-processing and saving results │ │ ├── refinement/ # Spectrogram-based enhancement │ │ ├── spectrogram/ # Spectrogram generation and analysis ├── tests/ # Unit and integration tests └── venv/ # Virtual environment (should be excluded from version control) ``` ### Wiki For detailed instructions on installing dependencies, setting up Python environments, and configuring the project, visit the [Wiki](https://github.com/joelmathewthomas/freq-split-enhance/wiki). ## License This project is licensed under the Apache License 2.0.