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.</br>
• Audio Playback: Preview both the original audio and the cleaned version.</br>
• Spectrogram Visualizations: Compare the before and after spectrograms to visually understand the noise reduction process.</br>
• Powered by DeepFilterNet: Leverages the robust deep learning capabilities of DeepFilterNet for superior results.</br>
• Download Support: Download the cleaned audio (WAV) or video (MP4) with enhanced audio.</br>

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:

./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:

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!