학술논문
Automatic recognition of temporal speech features in type 2 diabetes mellitus with mild cognitive impairment
Document Type
Conference
Author
Source
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Cognitive Infocommunications (CogInfoCom), 2019 10th IEEE International Conference on. :27-28 Oct, 2019
Subject
Language
Abstract
There is strong evidence of the increased risk for mild cognitive impairment (MCI) among type 2 diabetes mellitus (T2DM) patients. Since slight changes in speech can indicate cognitive impairments, the main aim of our study was to examine the characteristics of T2DM patients’ speech. Participants with T2DM (all above the age of 50) were divided into two groups: patients with MCI (n =26) or with normal cognition (n = 23). Spontaneous speech samples (containing the subjects’ description of their previous day) were collected and used for extraction of temporal speech parameters via an automatic speech recognition (ASR) based tool. Results indicated longer and more frequent filled pauses in MCI-patients’ speech: frequency of filled pauses (p