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# freq-split-enhance
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An open-source audio processing framework that splits audio into frequency components using spectrogram analysis, allowing users to enhance selected components with deep learning techniques. Ideal for tasks in music processing, speech enhancement, and noise reduction. Fully built with open-source tools for flexibility and extensibility.
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An advanced **audio processing pipeline** designed to separate and enhance audio components using cutting-edge open-source tools. With **freq-split-enhance**, you can isolate vocals, instruments, background noise, and more from raw audio files with precision.
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## 🚀 Key Features
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- **Source Separation**: Leverages tools like Demucs, Spleeter, and nussl for powerful audio separation.
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- **Noise Reduction**: Advanced filtering with noise reduction libraries like `noisereduce`.
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- **Spectrogram Analysis**: Generate and refine audio using spectrogram-based techniques.
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- **Fully Modular Pipeline**: Flexible structure to integrate and customize various audio processing tools.
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- **Python-First**: Written in Python with easy-to-read modular code.
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## 📖 Documentation
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### 📝 Wiki
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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).
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## 🛡️ License
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This project is licensed under the Apache License 2.0.
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