Abstract

The purpose of this study was to present basic data for voice rehabilitation by acoustically analyzing the voices of subjects who lost their voice due to laryngeal excision and used esophageal vocalization as an alternative method. We aimed to investigate the usefulness of esophageal speech analysis using open source software that can automatically run glottic inverse filtration (GIF) analysis and analyze various parameter values. GIF analysis was performed on 20 normal adults and 20 people with negative esophageal vocalization. Analysis variables included open quotient, speed quotient, closure quotient, amplitude quotient, normalized amplitude quotient, and semi-open quotient. As a result of glottal inverse filtration analysis of normal voice and esophageal vocalization, the values of esophageal vocalization were lower in all variables compared to normal vocalization, and the average score of esophageal vocalization was found to be 1/4 of that of normal vocalization. In this study, objective values for the glottal waveform of normal adults were obtained, and these parameter values were applied to esophageal voice to determine the extent to which they differ from normal voice, and the GIF value was used to determine the degree of voice progress in esophageal voice rehabilitation. It is believed that it can be used for prediction.

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