Evaluating the Voice Type Component Distributions of Excised Larynx Phonations at Three Subglottal Pressures
| Autor: | Hayley Raj, Boquan Liu, Jack J. Jiang, Logan Klein |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Excised larynx
Linguistics and Language medicine.medical_specialty 02 engineering and technology Audiology Language and Linguistics 03 medical and health sciences Speech and Hearing Dogs 0302 clinical medicine Phonation 0202 electrical engineering electronic engineering information engineering Canine larynx medicine Speech Animals Humans Intrinsic dimension 030223 otorhinolaryngology Human voice Mathematics Signal Processing Computer-Assisted Acoustics Nonlinear Dynamics 020201 artificial intelligence & image processing Larynx |
| Zdroj: | J Speech Lang Hear Res |
| ISSN: | 1558-9102 1092-4388 |
| DOI: | 10.1044/2021_jslhr-20-00429 |
| Popis: | Purpose The excised canine larynx provides an advantageous experimental framework in the study of voice physiology. In recent years, signal processing methods have been applied to analyze phonations in excised canine larynx experiments. However, phonations have a highly complex and nonstationary nature corresponding to different proportions of regular and chaotic signal elements. Current nonlinear dynamic methods that are used to assess the degree of irregularity in the voice fail to recognize the distribution of voice type components (VTCs). Method Based on measures of intrinsic dimension, this article presents a method to analyze the VTC distribution of phonations in excised canine larynx experiments. Thirty-nine phonation samples from 13 excised canine larynges at three different subglottal pressures were analyzed. Results Phonation produced with subglottal pressures above phonation instability pressure (PIP) and below phonation threshold pressure (PTP) resulted in high proportions of Voice Types 3 and 4, characterized by chaotic and noisy signals. Phonation produced with pressure between PTP and PIP contained mostly Type 1 voice, characterized by a regular and nearly periodic signal. Mean proportions of all VTCs varied significantly in comparisons of phonations produced with Sub-PTP and PTP as well as in comparisons of phonations produced with PTP and PIP. Conclusions Across all VTCs, the VTC profiles of normal and abnormal phonation differ significantly. Normal phonation is strongly associated with VTC 1 (Voice Type Component 1), whereas abnormal phonation exhibits increased VTC 4 (Voice Type Component 4). The study further demonstrates the ability of intrinsic dimension to successfully detect multiple voice types in an acoustic signal and highlights the need for expanded use of intrinsic dimension in human voice. Supplemental Material https://doi.org/10.23641/asha.14417585 |
| Databáze: | OpenAIRE |
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