This Python program allows you to perform keyboard acoustic analysis. By using sophisticated audio processing algorithms, this program can detect key presses simply based on the sound. This has potential applications in accessibility, security, and user interface development.

Through an easy-to-use graphical user interface (GUI), users can simply upload their audio recordings of typing and see the detected key presses.

• Audio recording analysis: The application can analyze a given audio recording for key press sounds.
• Keyboard press detection: Using advanced sound processing algorithms, it's capable of identifying individual key presses and their timings.
• Intuitive User Interface: Our application has an easy-to-use and visually pleasing user interface, simplifying the user interaction.

Clone the repository to your local machine, navigate to the cloned directory, and install the required dependencies:

git clone NAME REPO
cd repo
pip install -r requirements.txt

Once the installation is completed, you can run the program with:

python3 main.py

This application depends on several Python libraries for its functionality. Please refer to the requirements.txt file for the complete list of dependencies.

Please note that this application is for educational and research purposes only. The accuracy of key press detection can vary depending on the quality of the recording, background noise, microphone sensitivity, and other factors. It is not recommended to rely on this tool for critical applications without further validation and testing.

This project is licensed under the terms of the MIT license.

For more details, bug reports, or feature requests, please refer to the issues section on our GitHub repository.

This project is maintained by Miguel Monereo.