Effects of Vibratory Source on Auditory-Perceptual and Bio-Inspired Computational Measures of Pediatric Voice Quality

• Published in: Journal of voice 2023-09
• Main Authors: Park, Yeonggwang, Baker Brehm, Susan, Kelchner, Lisa, Weinrich, Barbara, McElfresh, Kevin, Anand, Supraja, Shrivastav, Rahul, de Alarcon, Alessandro, Eddins, David A.
• Format: Article
• Language: English
• Subjects: Acoustic assessment; Auditory-perceptual evaluation of voice; Pediatric voice disorders; Supraglottic vibratory sources; Voice quality post airway reconstruction
• ISSN: 0892-1997; 1873-4588
• DOI: 10.1016/j.jvoice.2023.08.016

The vibratory source for voicing in children with dysphonia is classified into three categories including a glottal vibratory source (GVS) observed in those with vocal lesions or hyperfunction; supraglottal vibratory sources (SGVS) observed secondary to laryngeal airway injuries, malformations, or reconstruction surgeries; and a combination of both glottal and supraglottal vibratory sources called mixed vibratory source (MVS). This study evaluated the effects of vibratory source on three primary dimensions of voice quality (breathiness, roughness, and strain) in children with GVS, SGVS, and MVS using single-variable matching tasks and computational measures obtained from bio-inspired auditory models. A total of 44 dysphonic voice samples from children aged 4–11 years were selected. Seven listeners rated breathiness, roughness, and strain of 1000-ms /ɑ/ samples using single-variable matching tasks. Computational estimates of pitch strength, amplitude modulation filterbank output, and sharpness were obtained through custom-designed MATLAB algorithms. Perceived roughness and strain were significantly higher in children with SGVS and MVS compared to children with GVS. Among the computational measures, only the modulation filterbank output resulted in significant differences among vibratory sources; a posthoc test revealed that children with SGVS had greater amplitude modulation than children with GVS, as expected from their rougher voice quality. The results indicate that the output of an auditory amplitude modulation filterbank model may capture characteristics of SGVS that are strongly related to the rough voice quality.