Nov 29, 2018 · We demonstrate that normative data from multiple speech-based tasks helps improve AD detection by up to 9%.
The effect of heterogeneous data for Alzheimer's disease detection from speech. Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi. 2018.
We demonstrate that normative data from multiple speech-based tasks helps improve AD detection by up to 9%.Visualization of decision boundaries reveals that ...
Nov 29, 2018 · Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech · Acoustic-Linguistic Features for Modeling ...
We demonstrate that normative data from multiple speech-based tasks helps improve AD detection by up to 9%. Visualization of decision boundaries reveals that ...
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Sep 21, 2024 · We show that systems based on two acoustic features, MFCCs and Wav2vec 2.0 embeddings, can discriminate AD patients from controls with above-chance performance.
A remote speech‐based AI system to screen for early Alzheimer's ...
pmc.ncbi.nlm.nih.gov › PMC9632864
Nov 3, 2022 · Artificial intelligence (AI) systems leveraging speech and language changes could support timely detection of Alzheimer's disease (AD).
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. We analyze the impact of age of the added samples and if they affect fairness ...
Oct 12, 2024 · Recent research has identified speech data as valuable clinical information for AD detection, given its association with the progressive ...
Jun 22, 2023 · Our results demonstrate the feasibility of using automated speech processing to characterize longitudinal change in early AD.