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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). Correlati...

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Autores principales: GRILLO, ELIZABETH U., BROSIOUS, JENNA N., SORRELL, STACI L., ANAND, SUPRAJA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University Library System, University of Pittsburgh 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536725/
https://www.ncbi.nlm.nih.gov/pubmed/28775797
http://dx.doi.org/10.5195/ijt.2016.6202
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author GRILLO, ELIZABETH U.
BROSIOUS, JENNA N.
SORRELL, STACI L.
ANAND, SUPRAJA
author_facet GRILLO, ELIZABETH U.
BROSIOUS, JENNA N.
SORRELL, STACI L.
ANAND, SUPRAJA
author_sort GRILLO, ELIZABETH U.
collection PubMed
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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spelling pubmed-55367252017-08-03 Influence of Smartphones and Software on Acoustic Voice Measures GRILLO, ELIZABETH U. BROSIOUS, JENNA N. SORRELL, STACI L. ANAND, SUPRAJA Int J Telerehabil Research 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. University Library System, University of Pittsburgh 2016-12-15 /pmc/articles/PMC5536725/ /pubmed/28775797 http://dx.doi.org/10.5195/ijt.2016.6202 Text en This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Research
GRILLO, ELIZABETH U.
BROSIOUS, JENNA N.
SORRELL, STACI L.
ANAND, SUPRAJA
Influence of Smartphones and Software on Acoustic Voice Measures
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
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536725/
https://www.ncbi.nlm.nih.gov/pubmed/28775797
http://dx.doi.org/10.5195/ijt.2016.6202
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