AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
This repository provides the overall framework for training and evaluating audio anti-spoofing systems proposed in ‘AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks’ Getting started requirements.txt must be installed for execution. We state our experiment environment for those who prefer to simulate as similar as possible. pip install -r requirements.txt Our environment (for GPU training) Based on a docker image: pytorch:1.6.0-cuda10.1-cudnn7-runtime GPU: 1 NVIDIA Tesla V100 About 16GB is required to train AASIST using a batch size of 24 […]
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