Exploring linguistic feature and model combination for speech recognition based automatic AD detection. (arXiv:2206.13758v1 [cs.LG])

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
preventive care and delay progression. Speech based automatic AD screening
systems provide a non-intrusive and more scalable alternative to other clinical
screening techniques. Scarcity of such specialist data leads to uncertainty in
both model selection and feature learning when developing such systems. To this
end, this paper investigates the use of feature and model combination
approaches to improve the robustness of domain fine-tuning of BERT and Roberta
pre-trained text encoders …

ad arxiv combination detection feature lg speech speech recognition