Performance of Phonatory Deviation Diagrams in Synthesized Voice Analysis

Abstract

Objective: To analyze the performance of a phonatory deviation diagram (PDD) in discriminating the presence and severity of voice deviation and the predominant voice quality of synthesized voices. Method: A speech-language pathologist performed the auditory-perceptual analysis of the synthesized voice (n = 871). The PDD distribution of voice signals was analyzed according to area, quadrant, shape, and density. Results: Differences in signal distribution regarding the PDD area and quadrant were detected when differentiating the signals with and without voice deviation and with different predominant voice quality. Differences in signal distribution were found in all PDD parameters as a function of the severity of voice disorder. Conclusion: The PDD area and quadrant can differentiate normal voices from deviant synthesized voices. There are differences in signal distribution in PDD area and quadrant as a function of the severity of voice disorder and the predominant voice quality. However, the PDD area and quadrant do not differentiate the signals as a function of severity of voice disorder and differentiated only the breathy and rough voices from the normal and strained voices. PDD density is able to differentiate only signals with moderate and severe deviation. PDD shape shows differences between signals with different severities of voice deviation.

Pediatric voice-related quality of life and acoustic analysis of voice: a study in schoolchildren

“…O DDF ainda apresenta as seguintes vantagens sobre outras ferramentas de análise acústica: utiliza medidas combinadas de irregularidade e ruído, o que melhora sua sensibilidade a diferentes manifestações de desvio vocal; inclui um algoritmo que permite maior confiabilidade na análise de sinais com desvios severos e fornece um resultado gráfico simples e fácil de interpretar, demonstrando relação com desvios auditivamente percebidos na qualidade vocal 20 .…”