HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's
Disease Detection From Spontaneous Speech
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's
Disease Detection From Spontaneous Speech
Automatically detecting Alzheimer's Disease (AD) from spontaneous speech plays an important role in its early diagnosis. Recent approaches highly rely on the Transformer architectures due to its efficiency in modelling long-range context dependencies. However, the quadratic increase in computational complexity associated with self-attention and the length of audio poses a …