AudioCleaner

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Audio Cleaner using DeepFilterNet, hosted through Streamlit

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# Adobe Enhance Speech Alternative with DeepFilterNet

This Streamlit web application provides a user-friendly interface for high-quality audio noise reduction powered by the DeepFilterNet framework.

## Features

- Simple Audio Upload: Drag and drop your audio files (WAV, MP3, M4A, FLAC, OGG) or video files (MOV) directly into the web app.
- Audio Playback: Preview both the original audio and the cleaned version.
- Spectrogram Visualizations: Compare the before and after spectrograms to visually understand the noise reduction process.
- Powered by DeepFilterNet: Leverages the robust deep learning capabilities of DeepFilterNet for superior results.
- Download Support: Download the cleaned audio (WAV) or video (MP4) with enhanced audio.

## How to Use

1. Upload your audio file.
2. Preview the original audio.
3. Click the 'Clean Audio' button.
4. Listen to the enhanced audio.
5. Compare spectrograms for a deeper look at the results.

## Installation

Ensure you have the following prerequisites:

- Python >= 3.9
- Streamlit
- PyTorch
- DeepFilterNet

### Quick Start

Simply run:

```bash
./run.sh
```

This will:

- Check for required dependencies
- Create a virtual environment
- Install all necessary packages
- Start the application

### Manual Installation

If you prefer to install manually:

```bash
git clone https://github.com/chuck1z/AudioCleaner
cd AudioCleaner
pip install -r requirements.txt
streamlit run main.py
```

## About DeepFilterNet

DeepFilterNet is an advanced deep learning framework for real-time speech enhancement. To learn more about this powerful tool, visit the GitHub repository: https://github.com/Rikorose/DeepFilterNet

## Contact/Contribution

Feel free to submit issues or feature requests on this project's GitHub repository. Contributions are welcome!

AudioCleaner

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