Literature DB >> 33887153

Evaluating the Voice Type Component Distributions of Excised Larynx Phonations at Three Subglottal Pressures.

Boquan Liu1,2, Hayley Raj2, Logan Klein2, Jack J Jiang2.   

Abstract

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 VTC1 (Voice Type Component 1), whereas abnormal phonation exhibits increased VTC4 (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.

Entities:  

Mesh:

Year:  2021        PMID: 33887153      PMCID: PMC8608150          DOI: 10.1044/2021_JSLHR-20-00429

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  28 in total

1.  Effects of dehydration on phonation in excised canine larynges.

Authors:  J Jiang; K Verdolini; B Aquino; J Ng; D Hanson
Journal:  Ann Otol Rhinol Laryngol       Date:  2000-06       Impact factor: 1.547

2.  Modeling of chaotic vibrations in symmetric vocal folds.

Authors:  J J Jiang; Y Zhang; J Stern
Journal:  J Acoust Soc Am       Date:  2001-10       Impact factor: 1.840

3.  Nonlinear dynamics of phonations in excised larynx experiments.

Authors:  Jack J Jiang; Yu Zhang; Charles N Ford
Journal:  J Acoust Soc Am       Date:  2003-10       Impact factor: 1.840

4.  Results of experiments with human larynxes.

Authors:  J VAN DEN BERG; T S TAN
Journal:  Pract Otorhinolaryngol (Basel)       Date:  1959-11

5.  Nonlinear dynamic analysis of voices before and after surgical excision of vocal polyps.

Authors:  Yu Zhang; Clancy McGilligan; Liang Zhou; Mark Vig; Jack J Jiang
Journal:  J Acoust Soc Am       Date:  2004-05       Impact factor: 1.840

6.  Perturbation and nonlinear dynamic analyses of voices from patients with unilateral laryngeal paralysis.

Authors:  Yu Zhang; Jack J Jiang; Laura Biazzo; Malinda Jorgensen
Journal:  J Voice       Date:  2005-12       Impact factor: 2.009

7.  Clinical significance of asymmetrical vocal cord tension.

Authors:  N Isshiki; M Tanabe; K Ishizaka; D Broad
Journal:  Ann Otol Rhinol Laryngol       Date:  1977 Jan-Feb       Impact factor: 1.547

8.  Application of Local Intrinsic Dimension for Acoustical Analysis of Voice Signal Components.

Authors:  Boquan Liu; Evan Polce; Jack Jiang
Journal:  Ann Otol Rhinol Laryngol       Date:  2018-06-17       Impact factor: 1.547

9.  Nonlinear dynamic analysis of disordered voice: the relationship between the correlation dimension (D2) and pre-/post-treatment change in perceived dysphonia severity.

Authors:  Shaheen N Awan; Nelson Roy; Jack J Jiang
Journal:  J Voice       Date:  2009-06-07       Impact factor: 2.009

10.  Nonlinear analyses of elicited modal, raised, and pressed rabbit phonation.

Authors:  Shaheen N Awan; Carolyn K Novaleski; Bernard Rousseau
Journal:  J Voice       Date:  2014-05-16       Impact factor: 2.009

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.