Reliability and Diagnostic Accuracy of Semi-Automated and Automated Acoustic Quantification of Vocal Tremor Characteristics.

ABSTRACT:

Purpose

This study compared three methods of acoustic algorithm-supported extraction and analysis of vocal tremor properties (i.e., rate, extent, and regularity of intensity level and fundamental frequency modulation): (a) visual perception and manual data extraction, (b) semi-automated data extraction, and (c) fully automated data extraction.

Method

Forty-five midvowel sustained [a:] and [i:] audio recordings were collected as part of a scientific project to learn about the physiologic substrates of vocal tremor. This convenience data set contained vowels with a representative variety in vocal tremor severity. First, the vocal tremor properties in intensity level and fundamental frequency tracks were visually inspected and manually measured using Praat software. Second, the

SUBMITTER: Maryn Y 

PROVIDER: S-EPMC12173159 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature