Summary
Objective
As Alzheimer's disease (AD) might provoke certain nerve disorders, patients with AD
can acquire sensorimotor adaptation problems, and thus the acoustic characteristics
of the speech they produce may differ from those of healthy subjects. This study aimed
to (1) extract acoustic characteristics (relating to articulatory gestures) potentially
useful for detecting AD and (2) examine whether these characteristics could help identify
AD patients.
Methods
A total of 50 individuals participated in the study, including the AD group (17 cases),
the Neurologically Healthy (NH) group (13 cases), the Mild Cognitive Impairment (MCI)
group (11 cases), and the Vascular Cognitive Impairment (VCI) group (9 cases). Voice
samples involving three vowels (/i/, /a/, and /u/) and six consonants (/p/, /pʰ/,
/t/, /tʰ/, /k/, and /kʰ/) were collected using a digital recorder (TASCAM DR40X).
Microphone-to-mouth distance was maintained at 30 cm. Acoustic measures included F0,
jitter, shimmer, HNR, F1, F2, F3, and VOT.
Results
One-way ANOVA tests were carried out to compare the acoustic measures among the four
groups. F3 of vowel /u/, F2 bandwidth of vowel /a/, VOT of consonant /t/, and male
participants’ F0 of three vowels (/a/, /i/, and /u/) were found significantly different,
while no significant differences were found in the other measures.
Conclusion
Some acoustic characteristics can indeed help detect AD patients.
Key words
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Article info
Publication history
Published online: September 21, 2022
Accepted:
August 5,
2022
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2022 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
