Literature DB >> 15964740

Chaos in voice, from modeling to measurement.

Jack J Jiang1, Yu Zhang, Clancy McGilligan.   

Abstract

Chaos has been observed in turbulence, chemical reactions, nonlinear circuits, the solar system, biological populations, and seems to be an essential aspect of most physical systems. Chaos may also be central to the interpretation of irregularity in voice disorders. This presentation will summarize the results from a series of our recent studies. These studies have demonstrated the prescence of chaos in computer models of vocal folds, experiments with excised larynges, and human voices. Methods based on nonlinear dynamics can be used to quantify chaos and irregularity in vocal fold vibration. Studies have suggested that disordered voices from laryngeal pathologies such as laryngeal paralysis, vocal polyps, and vocal nodules might exhibit chaotic behaviors. Conventional parameters, such as jitter and shimmer, may be unreliable for analysis of periodic and chaotic voice signals. Nonlinear dynamic methods, however, have differentiated between normal and pathological phonations and can describe the aperiodic or chaotic voice. Chaos theory and nonlinear dynamics can enchance our understanding and therefore our assessment of pathological phonation.

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Year:  2005        PMID: 15964740     DOI: 10.1016/j.jvoice.2005.01.001

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  34 in total

1.  Updating signal typing in voice: addition of type 4 signals.

Authors:  Alicia Sprecher; Aleksandra Olszewski; Jack J Jiang; Yu Zhang
Journal:  J Acoust Soc Am       Date:  2010-06       Impact factor: 1.840

2.  Vowel selection and its effects on perturbation and nonlinear dynamic measures.

Authors:  Julia K Maccallum; Yu Zhang; Jack J Jiang
Journal:  Folia Phoniatr Logop       Date:  2010-10-08       Impact factor: 0.849

3.  Perturbation and nonlinear dynamic analysis of adult male smokers.

Authors:  Lingying Chai; Alicia J Sprecher; Yi Zhang; Yufang Liang; Huijun Chen; Jack J Jiang
Journal:  J Voice       Date:  2010-05-15       Impact factor: 2.009

4.  Perturbation and nonlinear dynamic analysis of different singing styles.

Authors:  Caitlin J Butte; Yu Zhang; Huangqiang Song; Jack J Jiang
Journal:  J Voice       Date:  2008-05-27       Impact factor: 2.009

5.  Acoustic analysis of aperiodic voice: perturbation and nonlinear dynamic properties in esophageal phonation.

Authors:  Julia K Maccallum; Li Cai; Liang Zhou; Yu Zhang; Jack J Jiang
Journal:  J Voice       Date:  2008-04-14       Impact factor: 2.009

6.  Applied Chaos Level Test for Validation of Signal Conditions Underlying Optimal Performance of Voice Classification Methods.

Authors:  Boquan Liu; Evan Polce; Julien C Sprott; Jack J Jiang
Journal:  J Speech Lang Hear Res       Date:  2018-05-17       Impact factor: 2.297

7.  Using Rate of Divergence as an Objective Measure to Differentiate between Voice Signal Types Based on the Amount of Disorder in the Signal.

Authors:  William M Calawerts; Liyu Lin; J C Sprott; Jack J Jiang
Journal:  J Voice       Date:  2016-02-23       Impact factor: 2.009

8.  An Objective Parameter for Quantifying the Turbulent Noise Portion of Voice Signals.

Authors:  Liyu Lin; William Calawerts; Keith Dodd; Jack J Jiang
Journal:  J Voice       Date:  2015-10-21       Impact factor: 2.009

9.  Objective dysphonia quantification in vocal fold paralysis: comparing nonlinear with classical measures.

Authors:  Max A Little; Declan A E Costello; Meredydd L Harries
Journal:  J Voice       Date:  2009-11-08       Impact factor: 2.009

10.  Objective acoustic analysis of pathological voices from patients with vocal nodules and polyps.

Authors:  Jack J Jiang; Yu Zhang; Julia MacCallum; Alicia Sprecher; Liang Zhou
Journal:  Folia Phoniatr Logop       Date:  2009-10-28       Impact factor: 0.849

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