Validation of the Acoustic Voice Quality Index and the Acoustic Breathiness Index in the Persian Language.

Acoustic breathiness index Acoustic voice quality index VOXplot

Journal

Journal of voice : official journal of the Voice Foundation
ISSN: 1873-4588
Titre abrégé: J Voice
Pays: United States
ID NLM: 8712262

Informations de publication

Date de publication:
23 Aug 2023
Historique:
received: 01 06 2023
revised: 05 07 2023
accepted: 05 07 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 25 8 2023
Statut: aheadofprint

Résumé

This study aimed to validate the acoustic voice quality index version 03.01 (AVQIv3) and the acoustic breathiness index (ABI) in the Persian language. Six judges assessed the severity degree of the abnormal overall voice quality (hoarseness) and breathiness from continuous speech (cs) and sustained vowel (sv) in 136 voices samples of dysphonic and 45 vocally healthy participants. Firstly, the time length of cs and sv was balanced out for a higher level of ecological validity. Secondly, the concurrent validity and diagnostic accuracy were statistically analyzed with the Spearman rank-order correlation, and the receiver operating characteristics, likelihood ratio, and Youden index. There was substantial inter-rater reliability between judges regarding hoarseness and breathiness. Twenty syllables were identified as the standardized number of syllables for the cs part. Sufficient correlations were found between AVQI and hoarseness (r The AVQIv3 and ABI are reliable indices to quantify the abnormal overall voice quality and breathiness in the Persian language.

Identifiants

pubmed: 37625904
pii: S0892-1997(23)00212-6
doi: 10.1016/j.jvoice.2023.07.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The last author created the ABI and contributed to the development of the AVQI v.03. He also acts as a scientific advisor in the creation of the VOXplot software.

Auteurs

Mahshid Aghajanzadeh (M)

Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.

Saeed Saeedi (S)

Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: s.saeedi1996@gmail.com.

Shohreh Jalaie (S)

Department of Physiotherapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.

Kiarash Esarian (K)

Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.

Ben Barsties V Latoszek (B)

Speech-Language Pathology, SRH University of Applied Health Sciences, Düsseldorf, Germany.

Classifications MeSH