Automated Deepfake Audio Detection System

An automated system that detects deepfake audio.

An automated system that detects deepfake audio. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to work with signals and wireless data: acquiring or simulating signals, filtering and extracting features, and evaluating the results.

The main parts are signal acquisition or simulation, filtering and feature extraction, a processing or learning model, and plots and a clear evaluation. The reference build uses Python, NumPy, SciPy, and MATLAB, with a clear project structure, setup instructions and sample data so that it can be run and extended.