Grillo Elizabeth U, Brosious Jenna N, Sorrell Staci L, Anand Supraja
WEST CHESTER UNIVERSITY OF PENNSYLVANIA, DEPARTMENT OF COMMUNICATION SCIENCES AND DISORDERS, WEST CHESTER, PENNSYLVANIA, USA.
UNIVERSITY OF SOUTH FLORIDA, DEPARTMENT OF COMMUNICATION SCIENCES AND DISORDERS, TAMPA, FLORIDA, USA.
Int J Telerehabil. 2016 Dec 15;8(2):9-14. doi: 10.5195/ijt.2016.6202. eCollection 2016 Fall.
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.
本研究评估了使用不同录音设备（即智能手机和头戴式麦克风）及软件程序（即语音和嗓音失音分析软件（ADSV）、多维嗓音程序（MDVP）和Praat）采集的嗓音测量指标的受试者内变异性。还分析了计算嗓音测量指标的软件程序之间的相关性。结果表明，不同设备和软件之间受试者内变异性无显著差异，且部分测量指标在不同软件程序间高度相关。该研究表明，某些智能手机可能适合记录代表个体嗓音负荷影响的日常嗓音测量指标。此外，尽管不同软件程序使用不同算法来计算嗓音测量指标，但部分程序和测量指标具有相似的关系。
