Nov 22, 2019 · We present a detailed study of the predictive value of purely acoustic features automatically extracted from spontaneous speech for Alzheimer's dementia ...

We present a detailed study of the predictive value of purely acoustic features automatically extracted from spontaneous speech for Alzheimer's dementia ...

Results show that classification models based solely on acoustic speech features extracted through the new active data representation (ADR) method can ...

An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech · IEEE Journal of Selected Topics in Signal ...

Nov 17, 2022 · This paper aims to predict early AD diagnosis and evaluate stages of AD through exploratory analysis of acoustic features, non-stationarity, and ...

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Our model built on linguistic and acoustic features achieved the best accuracy of 81.69% on the test set, while paralinguistics based model only had an accuracy ...

We present a detailed study of the predictive value of purely acoustic features automati- cally extracted from spontaneous speech for Alzheimer's dementia.

Feb 5, 2021 · An end-to-end deep learning-based solution that performs a binary classification of Alzheimer's Dementia from the spontaneous speech of the patients.

Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical tools for automatically detecting and monitoring disease ...