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:

./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!