Efficient Pause Extraction and Encode Strategy for Alzheimer’s Disease Detection Using Only Acoustic Features from Spontaneous Speech

Efficient Pause Extraction and Encode Strategy for Alzheimer’s Disease Detection Using Only Acoustic Features from Spontaneous Speech

Clinical studies have shown that speech pauses can reflect the cognitive function differences between Alzheimer’s Disease (AD) and non-AD patients, while the value of pause information in AD detection has not been fully explored. Herein, we propose a speech pause feature extraction and encoding stra...

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Bibliographic Details
Main Authors: Jiamin Liu, Fan Fu, Liang Li, Junxiao Yu, Dacheng Zhong, Songsheng Zhu, Yuxuan Zhou, Bin Liu, Jianqing Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Brain Sciences
Subjects:
Alzheimer’s disease detection
speech pause feature
machine learning
ensemble machine learning
statistical analysis
Online Access:https://www.mdpi.com/2076-3425/13/3/477

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