Literature DB >> 19204393

Auditory-perceptual evaluation of disordered voice quality: pros, cons and future directions.

Jennifer Oates1.   

Abstract

Auditory-perceptual evaluation is the most commonly used clinical voice assessment method, and is often considered a gold standard for documentation of voice disorders. This view has arisen for many reasons, including the fact that voice quality is perceptual in nature and that the perceptual characteristics of voice have greater intuitive meaning and shared reality among listeners than do many instrumental measures. Other factors include limitations in the validity and reliability of instrumental methods and lack of agreement as to the most sensitive and specific instrumental measures of voice quality. Perceptual evaluation has, however, been heavily criticised because it is subjective. As a result, listener reliability is not always adequate and auditory-perceptual ratings can be confounded by factors such as the listener's shifting internal standards, listener experience, type of rating scale used and the voice sample being evaluated. This paper discusses these pros and cons of perceptual evaluation, and outlines clinical strategies and research approaches that may lead to improvements in the assessment of voice quality. In particular, clinicians are advised to use multiple methods of voice quality evaluation, and to include both subjective and objective evaluation tools. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19204393     DOI: 10.1159/000200768

Source DB:  PubMed          Journal:  Folia Phoniatr Logop        ISSN: 1021-7762            Impact factor:   0.849


  13 in total

1.  The relationship between acoustical and perceptual measures of vocal effort.

Authors:  Victoria S McKenna; Cara E Stepp
Journal:  J Acoust Soc Am       Date:  2018-09       Impact factor: 1.840

2.  The Americleft Speech Project: A Training and Reliability Study.

Authors:  Kathy L Chapman; Adriane Baylis; Judith Trost-Cardamone; Kelly Nett Cordero; Angela Dixon; Cindy Dobbelsteyn; Anna Thurmes; Kristina Wilson; Anne Harding-Bell; Triona Sweeney; Gregory Stoddard; Debbie Sell
Journal:  Cleft Palate Craniofac J       Date:  2014-12-22

3.  Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.

Authors:  Seong Hee Choi; Yu Zhang; Jack J Jiang; Diane M Bless; Nathan V Welham
Journal:  J Voice       Date:  2012-04-18       Impact factor: 2.009

4.  Multiparametric analysis of voice following prolonged voice use and voice rest in teachers: evidence from discriminant analysis.

Authors:  S V Narasimhan; Bhavana Gowda
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-10-22       Impact factor: 2.503

5.  Image representation of the acoustic signal: An effective tool for modeling spectral and temporal dynamics of connected speech.

Authors:  Hamzeh Ghasemzadeh; Philip C Doyle; Jeff Searl
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

6.  Perceptual and Acoustic Assessment of Strain Using Synthetically Modified Voice Samples.

Authors:  Yeonggwang Park; Manuel Díaz Cádiz; Kathleen F Nagle; Cara E Stepp
Journal:  J Speech Lang Hear Res       Date:  2020-11-05       Impact factor: 2.297

7.  Auditory-Perceptual Features of Speech in Children and Adults With Down Syndrome: A Speech Profile Analysis.

Authors:  Raymond D Kent; Julie Eichhorn; Erin M Wilson; Youmi Suk; Daniel M Bolt; Houri K Vorperian
Journal:  J Speech Lang Hear Res       Date:  2021-03-31       Impact factor: 2.297

8.  Acoustic parameters of voice in typically developing children ages 4-19 years.

Authors:  Raymond D Kent; Julie T Eichhorn; Houri K Vorperian
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2021-01-10       Impact factor: 1.675

9.  Reliability of the Italian INFVo scale and correlations with objective measures and VHI scores.

Authors:  A Schindler; D Ginocchio; M Atac; P Maruzzi; S Madaschi; F Ottaviani; F Mozzanica
Journal:  Acta Otorhinolaryngol Ital       Date:  2013-04       Impact factor: 2.124

10.  Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis.

Authors:  Tino Haderlein; Cornelia Schwemmle; Michael Döllinger; Václav Matoušek; Martin Ptok; Elmar Nöth
Journal:  Comput Math Methods Med       Date:  2015-06-02       Impact factor: 2.238

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.