Influence of Smartphones and Software on Acoustic Voice Measures.

This study assessed the within-subject variability of voice measures captured using different recording devices (i.e., smartphones and head mounted microphone) and software programs (i.e., Analysis of Dysphonia in Speech and Voice (ADSV), Multi-dimensional Voice Program (MDVP), and Praat).  Correlat...

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Main Authors: Elizabeth U. Grillo, Jenna N. Brosious, Staci L. Sorrell, Supraja Anand
Format: Article
Language:English
Published: Hawaii Pacific University Library 2016-12-01
Series:International Journal of Telerehabilitation
Online Access:http://telerehab.pitt.edu/ojs/index.php/Telerehab/article/view/6202
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author Elizabeth U. Grillo
Jenna N. Brosious
Staci L. Sorrell
Supraja Anand
author_facet Elizabeth U. Grillo
Jenna N. Brosious
Staci L. Sorrell
Supraja Anand
author_sort Elizabeth U. Grillo
collection DOAJ
description This study assessed the within-subject variability of voice measures captured using different recording devices (i.e., smartphones and head mounted microphone) and software programs (i.e., Analysis of Dysphonia in Speech and Voice (ADSV), Multi-dimensional Voice Program (MDVP), and Praat).  Correlations between the software programs that calculated the voice measures were also analyzed.  Results demonstrated no significant within-subject variability across devices and software and that some of the measures were highly correlated across software programs.  The study suggests that certain smartphones may be appropriate to record daily voice measures representing the effects of vocal loading within individuals.  In addition, even though different algorithms are used to compute voice measures across software programs, some of the programs and measures share a similar relationship.
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series International Journal of Telerehabilitation
spelling doaj-art-68e4f09604eb44c2bfc2befbad8ce45e2025-08-20T03:18:20ZengHawaii Pacific University LibraryInternational Journal of Telerehabilitation1945-20202016-12-018291410.5195/ijt.2016.62026006Influence of Smartphones and Software on Acoustic Voice Measures.Elizabeth U. GrilloJenna N. BrosiousStaci L. SorrellSupraja AnandThis study assessed the within-subject variability of voice measures captured using different recording devices (i.e., smartphones and head mounted microphone) and software programs (i.e., Analysis of Dysphonia in Speech and Voice (ADSV), Multi-dimensional Voice Program (MDVP), and Praat).  Correlations between the software programs that calculated the voice measures were also analyzed.  Results demonstrated no significant within-subject variability across devices and software and that some of the measures were highly correlated across software programs.  The study suggests that certain smartphones may be appropriate to record daily voice measures representing the effects of vocal loading within individuals.  In addition, even though different algorithms are used to compute voice measures across software programs, some of the programs and measures share a similar relationship.http://telerehab.pitt.edu/ojs/index.php/Telerehab/article/view/6202
spellingShingle Elizabeth U. Grillo
Jenna N. Brosious
Staci L. Sorrell
Supraja Anand
Influence of Smartphones and Software on Acoustic Voice Measures.
International Journal of Telerehabilitation
title Influence of Smartphones and Software on Acoustic Voice Measures.
title_full Influence of Smartphones and Software on Acoustic Voice Measures.
title_fullStr Influence of Smartphones and Software on Acoustic Voice Measures.
title_full_unstemmed Influence of Smartphones and Software on Acoustic Voice Measures.
title_short Influence of Smartphones and Software on Acoustic Voice Measures.
title_sort influence of smartphones and software on acoustic voice measures
url http://telerehab.pitt.edu/ojs/index.php/Telerehab/article/view/6202
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AT stacilsorrell influenceofsmartphonesandsoftwareonacousticvoicemeasures
AT suprajaanand influenceofsmartphonesandsoftwareonacousticvoicemeasures