This repository is related to our Dataset and Detection code from the paper: AI-Synthesized Voice Detection Using Neural Vocoder Artifacts accepted in CVPR Workshop on Media Forensic 2023.

Implementation of the paper "Improved DeepFake Detection Using Whisper Features"

SUTD 50.039 Deep Learning Course Project (2022 Spring)

Implementation of Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection paper

Implementation of "Defense against Adversarial Attacks on Audio DeepFake Detection"

Implementation of "SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection" paper

Audio deepfake detection sytem on CNN

Official implementation of the INTERSPEECH 2024 paper: Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

LibriVoc is a new open-source, large-scale dataset for vocoder artifact detection. LibriVoc is derived from the LibriTTS speech corpus, which is widely used in text-to- speech research. The LibriTTS corpus is derived from the Librispeech dataset, wherein each sample is extracted from LibriVox audiobooks.

Application that detects the authenticity of audio files developed using the Random Forest Model.

Here is the Asvspoof19 Laundered Dataset an deepfake audio website for downloading the data and preview the sample data