| Autor: |
Elizabeth U. Grillo, Jenna N. Brosious, Staci L. Sorrell, Supraja Anand |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
International Journal of Telerehabilitation, Vol 8, Iss 2, Pp 9-14 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
1945-2020 |
| DOI: |
10.5195/ijt.2016.6202 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
