A Pytorch implementation of paper 'Multimodal fusion for alzheimer's disease recognition' submitted to Applied Intelligence.

Introduction

steps:

• fine-tune BERT python Bert.py
• fine-tune Wav2Vec2 python Wav2vec.py
• extract pretrain features python pretrain_feature.py
• train and test svm classifier python ml_classifier.py

Beacuse we have extacted pretrain features, you can only run python ml_classifier.py to evaluate the model.