Real-time voice deepfake detection, synthesis watermarking & vishing defence — XLS-R + AASIST (2.84% EER, v9c) that also catches modern voice clones & premium TTS. Explainable, edge-ready (0.62 MB ONNX), with an IPED forensic add-on. FastAPI + React. IEEE SM2026.

Audio Authentication with wav2vec-AASIST whisper-AASIST and mfcc-AASIST

This repository contains a torch-geometric implementation of the AASIST framework for audio anti-spoofing, featuring optimized GNN modules for significantly faster training and enhanced performance.

PyQt6 - Desktop GUI for spoofed speech detection

Final year Computer Science BSc dissertation project - A Personalised Audio Deepfake Detection system