This web application offers a suite of advanced audio processing features, including noise reduction, audio separation, music extraction, and voice cloning. Utilizing state-of-the-art machine learning models and audio processing techniques, it provides an intuitive interface for enhancing audio files and cloning voices with remarkable accuracy.

• Noise Reduction: Clean up audio recordings by removing background noise, enhancing the clarity and quality of the sound.
• Music Extraction: Separate musical components from audio files, enabling users to extract instrumental or vocal tracks.
• Voice Cloning: Clone the voice from an audio sample and apply it to another voice or text-to-speech output, using either traditional TTS (Text-to-Speech) methods or advanced voice cloning techniques.

• Gradio: For building the web interface that allows users to interact with the application.
• PyTorch: As the primary machine learning framework for running the deep learning models.
• Python Libraries: Such as scipy, numpy, pydub, and noisereduce for audio file manipulation and processing.
• TTS and Voice Conversion: Leveraging models from the TTS library for text-to-speech and voice conversion functionalities.
• FFmpeg: For audio and video file processing, such as extracting audio from video files, splitting audio into chunks, and merging audio files.

• Python 3.6 or later
• Pip for Python package installation

1. Clone this repository or download the source code.
2. Navigate to the root directory of the application.
3. Create a virtual environment. For example, using venv:

bash
python -m venv venv
source venv/bin/activate

1. If building on windows, you will need to have the Visual Studio C++ build tools installed: https://visualstudio.microsoft.com/visual-cpp-build-tools/
2. Install the required Python packages:

bash
python ./install.py

3. Ensure that ffmpeg is installed.

winget install ffmpeg

or

apt-get install ffmpeg

Execute the main script to start the web application:

bash
python ./main.py

This command launches a local server, and the web interface can be accessed through a web browser at the URL provided in the terminal output (typically http://127.0.0.1:7860).

• Upload an Audio or Video File: Start by uploading the target file using the "Target File" field. The application supports .mp4 and .wav formats.
• Audio Separation and Noise Reduction: Select the "Extract Audio" or "Clean Audio" options and provide the necessary prompts or configurations.
• Voice Cloning: Choose the cloning method (TTS or OpenVoice), upload a source speaker audio file, and initiate the cloning process.
• Review Outputs: The processed audio or video file can be previewed and downloaded directly from the web interface.

This application is open-source, and contributions are welcome. Whether it's a feature request, bug report, or a pull request, your input is valued and appreciated.

This project is licensed under the MIT License - see the LICENSE file for details.