Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer’s Disease Detection
Author:
Affiliation:
1. The Chinese University of Hong Kong,China
2. Microsoft Research Asia,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096205.pdf?arnumber=10096205
Reference38 articles.
1. Comparing acoustic-based approaches for alzheimer’s disease detection;balagopalan,2021
2. Dither Signals and Their Effect on Quantization Noise
3. Exploiting multi-modal features from pre-trained networks for alzheimer’s dementia recognition;koo;InterSpeech,2020
4. Efficient numerical simulation of stochastic internal-wave-induced sound-speed perturbation fields
5. To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection
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3. Transferring Speech-Generic and Depression-Specific Knowledge for Alzheimer’s Disease Detection;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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