Literature DB >> 26846543

An iOS-based Cepstral Peak Prominence Application: Feasibility for Patient Practice of Resonant Voice.

Eva van Leer1, Robert C Pfister2, Xuefu Zhou3.   

Abstract

OBJECTIVES/HYPOTHESIS: Patients participating in voice therapy often express difficulty replicating therapy targets during their independent home practice. To assist patients, an iOS-based app was developed that calculates and displays cepstral peak prominence (CPP) values for patient self-monitoring of voice quality. The purpose of this study was to investigate the usability (ie ease of use) and utility (ie helpfulness) of this app in patient practice of resonant voice, and its effect on self-efficacy for practice.
DESIGN: This study used mixed methods including repeated measures, survey, and semi-structured interview. METHODS/
RESULTS: A total of 14 individuals undergoing voice therapy for a variety of voice disorders produced sustained phonation and connected speech tasks in three sequential conditions: habitual voice quality, resonant voice quality achieved without clinician assistance, and resonant voice quality achieved in interaction with the CPP app. For both tasks, CPP values were significantly and progressively higher in subsequent conditions, indicating utility of mobile CPP to differentiate habitual voice quality from resonant voice production. The participants found the app easy to use as indicated by high System Usability Scale ratings, and rated self-efficacy for practice with the app significantly higher than for unassisted practice. The interviews suggested that the participants found numeric CPP feedback helpful in self-evaluating voice quality, and thought it was "fun" to use the app.
CONCLUSION: CPP information provided on a mobile app has potential to assist and motivate patients in the achievement of resonant voice production.
Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cepstral peak prominence; Patient compliance; Self-efficacy; Treatment adherence; Voice therapy

Mesh:

Year:  2016        PMID: 26846543     DOI: 10.1016/j.jvoice.2015.11.022

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


  6 in total

1.  Measuring vocal motor skill with a virtual voice-controlled slingshot.

Authors:  Jarrad H Van Stan; Se-Woong Park; Matthew Jarvis; Daryush D Mehta; Robert E Hillman; Dagmar Sternad
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

2.  Ambulatory Voice Biofeedback: Relative Frequency and Summary Feedback Effects on Performance and Retention of Reduced Vocal Intensity in the Daily Lives of Participants With Normal Voices.

Authors:  Jarrad H Van Stan; Daryush D Mehta; Dagmar Sternad; Robert Petit; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2017-04-14       Impact factor: 2.297

3.  A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App.

Authors:  Elizabeth U Grillo
Journal:  Am J Speech Lang Pathol       Date:  2021-02-01       Impact factor: 2.408

4.  Voice Disorder Detection via an m-Health System: Design and Results of a Clinical Study to Evaluate Vox4Health.

Authors:  Ugo Cesari; Giuseppe De Pietro; Elio Marciano; Ciro Niri; Giovanna Sannino; Laura Verde
Journal:  Biomed Res Int       Date:  2018-08-08       Impact factor: 3.411

5.  The Impact of Nasalance on Cepstral Peak Prominence and Harmonics-to-Noise Ratio.

Authors:  Catherine Madill; Duong Duy Nguyen; Kristie Yick-Ning Cham; Daniel Novakovic; Patricia McCabe
Journal:  Laryngoscope       Date:  2018-12-25       Impact factor: 3.325

6.  Effect of an iOS App on Voice Therapy Adherence and Motivation.

Authors:  Eva van Leer; Brittney Lewis; Nick Porcaro
Journal:  Am J Speech Lang Pathol       Date:  2021-01-21       Impact factor: 2.408

  6 in total

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