Literature DB >> 28739333

Comparison of Two Multiparameter Acoustic Indices of Dysphonia Severity: The Acoustic Voice Quality Index and Cepstral Spectral Index of Dysphonia.

Jeong Min Lee1, Nelson Roy2, Elizabeth Peterson2, Ray M Merrill3.   

Abstract

OBJECTIVES: The Acoustic Voice Quality Index (AVQI) and the Cepstral Spectral Index of Dysphonia (CSID) are two multiparameter acoustic indices designed to objectively estimate dysphonia severity and track treatment outcomes. This study compared the performance of these two indices using a common corpus of dysphonic speakers.
METHOD: Pre- and posttreatment samples of sustained vowel and connected speech were elicited from 112 patients across six diagnostic categories: unilateral vocal fold paralysis (n = 20), adductor spasmodic dysphonia (n = 20), primary muscle tension dysphonia (n = 20), benign vocal fold lesions (n = 20), presbylaryngis (n = 20), and mutational falsetto (n = 12). Listener ratings of dysphonia severity were compared to acoustic estimates of severity derived from two iterations of the AVQI (versions 2.02 and 3.01) as well as the CSID.
RESULTS: The AVQI- and CSID-estimated severity for sustained vowels, connected speech, and a combined context were strongly correlated and significantly associated with listener ratings pretreatment, posttreatment, and change observed pre- to posttreatment. However, multiple regression analysis (adjusted for age, sex, and diagnostic category) revealed that the CSID generally accounted for more variance in listener-perceived severity ratings, and the contribution of the AVQI was small and statistically insignificant when the CSID was already in a combined model.
CONCLUSIONS: The AVQI and the CSID were strongly correlated and both provided valid estimates of dysphonia severity. However, associations observed between the CSID- and listener-estimated dysphonia were almost uniformly stronger than either version of the AVQI, suggesting that the CSID outperformed the AVQI.
Copyright © 2018 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AVQI; CSID; Cepstral analysis; Dysphonia severity; Voice disorders

Mesh:

Year:  2017        PMID: 28739333     DOI: 10.1016/j.jvoice.2017.06.012

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  4 in total

1.  Exploring the feasibility of the combination of acoustic voice quality index and glottal function index for voice pathology screening.

Authors:  Nora Ulozaite-Staniene; Tadas Petrauskas; Viktoras Šaferis; Virgilijus Uloza
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-04-23       Impact factor: 2.503

2.  Lightweight Deep Learning Model for Assessment of Substitution Voicing and Speech after Laryngeal Carcinoma Surgery.

Authors:  Rytis Maskeliūnas; Audrius Kulikajevas; Robertas Damaševičius; Kipras Pribuišis; Nora Ulozaitė-Stanienė; Virgilijus Uloza
Journal:  Cancers (Basel)       Date:  2022-05-11       Impact factor: 6.575

3.  Effects of Injection Laryngoplasty with Hyaluronic Acid in Patients with Vocal Fold Paralysis.

Authors:  Geun-Hyo Kim; Jae-Seok Lee; Chang-Yoon Lee; Yeon-Woo Lee; In-Ho Bae; Hee-June Park; Byung-Joo Lee; Soon-Bok Kwon
Journal:  Osong Public Health Res Perspect       Date:  2018-12

4.  A comparison of Dysphonia Severity Index and Acoustic Voice Quality Index measures in differentiating normal and dysphonic voices.

Authors:  Virgilijus Uloza; Ben Barsties V Latoszek; Nora Ulozaite-Staniene; Tadas Petrauskas; Youri Maryn
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-02-13       Impact factor: 2.503

  4 in total

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