Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368477" target="_blank" >RIV/68407700:21230/23:00368477 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/23:10468629 RIV/00064165:_____/23:10468629

Result on the web

<a href="https://doi.org/10.1044/2023_JSLHR-22-00526" target="_blank" >https://doi.org/10.1044/2023_JSLHR-22-00526</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1044/2023_JSLHR-22-00526" target="_blank" >10.1044/2023_JSLHR-22-00526</a>

Result language

angličtina

Original language name

Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities

Original language description

Purpose: Although articulatory impairment represents distinct speech characteristics in most neurological diseases affecting movement, methods allowing automated assessments of articulation deficits from the connected speech are scarce. This study aimed to design a fully automated method for analyzing dysarthriarelated vowel articulation impairment and estimate its sensitivity in a broad range of neurological diseases and various types and severities of dysarthria.Method: Unconstrained monologue and reading passages were acquired from 459 speakers, including 306 healthy controls and 153 neurological patients. The algorithm utilized a formant tracker in combination with a phoneme recognizer and subsequent signal processing analysis.Results: Articulatory undershoot of vowels was presented in a broad spectrum of progressive neurodegenerative diseases, including Parkinson's disease, progressive supranuclear palsy, multiple-system atrophy, Huntington's disease, essential tremor, cerebellar ataxia, multiple sclerosis, and amyotrophic lateral sclerosis, as well as in related dysarthria subtypes including hypokinetic, hyper kinetic, ataxic, spastic, flaccid, and their mixed variants. Formant ratios showed a higher sensitivity to vowel deficits than vowel space area. First formants of corner vowels were significantly lower for multiple-system atrophy than cerebellar ataxia. Second formants of vowels /a/ and /i/ were lower in ataxic compared to spastic dysarthria. Discriminant analysis showed a classification score of up to 41.0% for disease type, 39.3% for dysarthria type, and 49.2% for dysarthria severity. Algorithm accuracy reached an F-score of 0.77. Conclusions: Distinctive vowel articulation alterations reflect underlying pathophysiology in neurological diseases. Objective acoustic analysis of vowel articulation has the potential to provide a universal method to screen motor speech disorders.Supplemental Material: https://doi.org/10.23641/asha.23681529

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

60203 - Linguistics

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Speech Language and Hearing Research

ISSN

1092-4388

e-ISSN

1558-9102

Volume of the periodical

66

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

22

Pages from-to

2600-2621

UT code for WoS article

001056733600004

EID of the result in the Scopus database

2-s2.0-85166442092