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Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment
We observe the difference between dementia and healthy samples in terms of the text's relevance to the picture and the focused area of the picture.
Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning
Our evaluation shows that the best-performing model utilizes the memory recall task and categorical naming task from the Boston Naming Test, which achieved an accuracy of 80. 07% (F1-score of 0. 85) and 81. 13% (F1-score of 0. 89), respectively.
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
Speech pause is an effective biomarker in dementia detection.
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