Literature DB >> 20550269

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

Alicia Sprecher1, Aleksandra Olszewski, Jack J Jiang, Yu Zhang.   

Abstract

The addition of a fourth type of voice to Titze's voice classification scheme is proposed. This fourth voice type is characterized by primarily stochastic noise behavior and is therefore unsuitable for both perturbation and correlation dimension analysis. Forty voice samples were classified into the proposed four types using narrowband spectrograms. Acoustic, perceptual, and correlation dimension analyses were completed for all voice samples. Perturbation measures tended to increase with voice type. Based on reliability cutoffs, the type 1 and type 2 voices were considered suitable for perturbation analysis. Measures of unreliability were higher for type 3 and 4 voices. Correlation dimension analyses increased significantly with signal type as indicated by a one-way analysis of variance. Notably, correlation dimension analysis could not quantify the type 4 voices. The proposed fourth voice type represents a subset of voices dominated by noise behavior. Current measures capable of evaluating type 4 voices provide only qualitative data (spectrograms, perceptual analysis, and an infinite correlation dimension). Type 4 voices are highly complex and the development of objective measures capable of analyzing these voices remains a topic of future investigation.

Mesh:

Year:  2010        PMID: 20550269      PMCID: PMC2896412          DOI: 10.1121/1.3397477

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  22 in total

1.  Nonlinear dynamics of the voice: Signal analysis and biomechanical modeling.

Authors:  Hanspeter Herzel; David Berry; Ingo Titze; Ina Steinecke
Journal:  Chaos       Date:  1995-03       Impact factor: 3.642

2.  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

3.  Acoustic analyses of sustained and running voices from patients with laryngeal pathologies.

Authors:  Yu Zhang; Jack J Jiang
Journal:  J Voice       Date:  2006-09-14       Impact factor: 2.009

Review 4.  Chaos in voice, from modeling to measurement.

Authors:  Jack J Jiang; Yu Zhang; Clancy McGilligan
Journal:  J Voice       Date:  2005-06-20       Impact factor: 2.009

5.  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

6.  Microphone and electroglottographic data from dysphonic patients: type 1, 2 and 3 signals.

Authors:  A Behrman; C J Agresti; E Blumstein; N Lee
Journal:  J Voice       Date:  1998-06       Impact factor: 2.009

7.  Suitability of acoustic perturbation measures in analysing periodic and nearly periodic voice signals.

Authors:  Estella P-M Ma; Edwin M-L Yiu
Journal:  Folia Phoniatr Logop       Date:  2005 Jan-Feb       Impact factor: 0.849

8.  Analysis of vocal disorders with methods from nonlinear dynamics.

Authors:  H Herzel; D Berry; I R Titze; M Saleh
Journal:  J Speech Hear Res       Date:  1994-10

9.  Objective measures of breathy voice quality obtained using an auditory model.

Authors:  Rahul Shrivastav; Christine M Sapienza
Journal:  J Acoust Soc Am       Date:  2003-10       Impact factor: 1.840

10.  Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection.

Authors:  Max A Little; Patrick E McSharry; Stephen J Roberts; Declan A E Costello; Irene M Moroz
Journal:  Biomed Eng Online       Date:  2007-06-26       Impact factor: 2.819

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  17 in total

1.  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

2.  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

3.  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

4.  Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.

Authors:  Seong Hee Choi; Yu Zhang; Jack J Jiang; Diane M Bless; Nathan V Welham
Journal:  J Voice       Date:  2012-04-18       Impact factor: 2.009

5.  Cepstral analysis in patients with a vocal fold motility impairment: advantages of the cepstrum over time-based acoustic analysis.

Authors:  Beatriz Delgado-Vargas; Leticia Acle-Cervera; Lorena Sánz-López; Mireya Bonet-Loscertales; Narcisa Pérez-Naranjo; Patricia Fuentes-Navajo
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-08-24       Impact factor: 2.503

6.  An Excised Canine Model of Anterior Glottic Web and Its Acoustic, Aerodynamic, and High-speed Measurements.

Authors:  Chao Xue; Allyson Pulvermacher; William Calawerts; Erin Devine; Jack Jiang
Journal:  J Voice       Date:  2016-09-23       Impact factor: 2.009

7.  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

8.  Bioengineered vocal fold mucosa for voice restoration.

Authors:  Changying Ling; Qiyao Li; Matthew E Brown; Yo Kishimoto; Yutaka Toya; Erin E Devine; Kyeong-Ok Choi; Kohei Nishimoto; Ian G Norman; Tenzin Tsegyal; Jack J Jiang; William J Burlingham; Sundaram Gunasekaran; Lloyd M Smith; Brian L Frey; Nathan V Welham
Journal:  Sci Transl Med       Date:  2015-11-18       Impact factor: 17.956

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

Authors:  Boquan Liu; Hayley Raj; Logan Klein; Jack J Jiang
Journal:  J Speech Lang Hear Res       Date:  2021-04-22       Impact factor: 2.297

10.  Probability-Based Best Sample Selection for Acoustic Analysis of Normal and Disordered Voices.

Authors:  Boquan Liu; Jacob F Reiss; Jack J Jiang
Journal:  J Voice       Date:  2020-05-29       Impact factor: 2.009

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