Fig. 1From: Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speechOverall classification procedure. The classification procedure consists of the steps of augmentation, splitting, embedding, classification, and voting, where augmentation is only used in the training phase. Also, when passing the entire transcript to the embedding layer, the splitting and voting layers are disabled. The underlined models are trainable here, and the others are fixedBack to article page