This GitHub project is still in progress, but you can view the core ideas and functionality by selecting the above link and going through the project.
This project aims to use neural networks to undistort audio clips, focusing primarily on human speech. It involves processing audio to reduce noise and distortion, thereby improving the clarity and intelligibility of the audio content. The application runs as a simple web server, allowing users to interact with it through a web browser.
requirements.txt
(install using pip install -r requirements.txt
)pip install -r requirements.txt
config.py
according to your setup (details below).Edit the config.py
file to set up the following configurations:
Refer to config.py
for setting global variables. These include:
Please ensure all variables are correctly set before starting the server.
To start the web server, run python server.py
from the command line. Once the server is running, open a web browser and navigate to http://localhost:<PORT>
(replace <PORT>
with the port number you configured).
For detailed information on how to use the application and examples of audio processing, visit the application's homepage.