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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University Library System, University of Pittsburgh
2016
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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. |
format | Online Article Text |
id | pubmed-5536725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | University Library System, University of Pittsburgh |
record_format | MEDLINE/PubMed |
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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