Speech-Based Detection of Mild Cognitive Impairment using Acoustic Features

カテゴリ: 全国大会

論文No: 3-002

グループ名: 【全国大会】令和7年電気学会全国大会論文集

発行日: 2025/03/01

タイトル(英語): Speech-Based Detection of Mild Cognitive Impairment using Acoustic Features

著者名: HuangShiannfong（Asia Eastern University of Science and Technology）,ChenChing-Kai（Asia Eastern University of Science and Technology）,LinJun-Yi（Asia Eastern University of Science and Technology）

著者名(英語): Shiannfong Huang (Asia Eastern University of Science and Technology),Ching-Kai Chen (Asia Eastern University of Science and Technology),Jun-Yi Lin (Asia Eastern University of Science and Technology)

キーワード: |Mild Cognitive Impairment (MCI)|Acoustic Features|Speech Analysis|Early Detection|Non-invasive Screening

要約(英語): This study introduces a speech-based system for detecting mild cognitive impairment (MCI) by analyzing specific acoustic features. With the growing need for early diagnosis of MCI, which often precedes more severe neurodegenerative diseases, this system a

本誌掲載ページ: 2-4 p

原稿種別: 英語

PDFファイルサイズ: 320 Kバイト