Literature DB >> 33514179

Validating a psychoacoustic model of voice quality.

Jody Kreiman1, Yoonjeong Lee1, Marc Garellek2, Robin Samlan3, Bruce R Gerratt4.   

Abstract

No agreed-upon method currently exists for objective measurement of perceived voice quality. This paper describes validation of a psychoacoustic model designed to fill this gap. This model includes parameters to characterize the harmonic and inharmonic voice sources, vocal tract transfer function, fundamental frequency, and amplitude of the voice, which together serve to completely quantify the integral sound of a target voice sample. In experiment 1, 200 voices with and without diagnosed vocal pathology were fit with the model using analysis-by-synthesis. The resulting synthetic voice samples were not distinguishable from the original voice tokens, suggesting that the model has all the parameters it needs to fully quantify voice quality. In experiment 2 parameters that model the harmonic voice source were removed one by one, and the voice tokens were re-synthesized with the reduced model. In every case the lower-dimensional models provided worse perceptual matches to the quality of the natural tokens than did the original set, indicating that the psychoacoustic model cannot be reduced in dimensionality without loss of fit to the data. Results confirm that this model can be validly applied to quantify voice quality in clinical and research applications.

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Year:  2021        PMID: 33514179      PMCID: PMC7822631          DOI: 10.1121/10.0003331

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


  17 in total

1.  Perceptual interaction of the harmonic source and noise in voice.

Authors:  Jody Kreiman; Bruce R Gerratt
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

2.  Perception of aperiodicity in pathological voice.

Authors:  Jody Kreiman; Bruce R Gerratt
Journal:  J Acoust Soc Am       Date:  2005-04       Impact factor: 1.840

3.  When and why listeners disagree in voice quality assessment tasks.

Authors:  Jody Kreiman; Bruce R Gerratt; Mika Ito
Journal:  J Acoust Soc Am       Date:  2007-10       Impact factor: 1.840

4.  Consensus auditory-perceptual evaluation of voice: development of a standardized clinical protocol.

Authors:  Gail B Kempster; Bruce R Gerratt; Katherine Verdolini Abbott; Julie Barkmeier-Kraemer; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2008-10-16       Impact factor: 2.408

5.  Digital inverse filtering for linguistic research.

Authors:  H R Javkin; N Antoñanzas-Barroso; I Maddieson
Journal:  J Speech Hear Res       Date:  1987-03

6.  The effect of vocal tract parameters on aspiration noise discrimination.

Authors:  Ilse B Labuschagne; Valter Ciocca
Journal:  J Acoust Soc Am       Date:  2020-02       Impact factor: 1.840

7.  Integrated software for analysis and synthesis of voice quality.

Authors:  Jody Kreiman; Norma Antoñanzas-Barroso; Bruce R Gerratt
Journal:  Behav Res Methods       Date:  2010-11

8.  Acoustic correlates of breathy vocal quality.

Authors:  J Hillenbrand; R A Cleveland; R L Erickson
Journal:  J Speech Hear Res       Date:  1994-08

9.  Toward a unified theory of voice production and perception.

Authors:  Jody Kreiman; Bruce R Gerratt; Marc Garellek; Robin Samlan; Zhaoyan Zhang
Journal:  Loquens       Date:  2014-01

10.  How many voices did you hear? Natural variability disrupts identity perception from unfamiliar voices.

Authors:  Nadine Lavan; Luke F K Burston; Lúcia Garrido
Journal:  Br J Psychol       Date:  2018-09-16
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  4 in total

1.  Speaker discrimination performance for "easy" versus "hard" voices in style-matched and -mismatched speech.

Authors:  Amber Afshan; Jody Kreiman; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2022-02       Impact factor: 1.840

2.  Acoustic voice variation in spontaneous speech.

Authors:  Yoonjeong Lee; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2022-05       Impact factor: 2.482

3.  Perceptual Evaluation of Vocal Fold Vibratory Asymmetry.

Authors:  Shaghauyegh S Azar; Pranati Pillutla; Lauran K Evans; Zhaoyan Zhang; Jody Kreiman; Dinesh K Chhetri
Journal:  Laryngoscope       Date:  2021-06-09       Impact factor: 2.970

4.  Towards a Singing Voice Multi-Sensor Analysis Tool: System Design, and Assessment Based on Vocal Breathiness.

Authors:  Evangelos Angelakis; Natalia Kotsani; Anastasia Georgaki
Journal:  Sensors (Basel)       Date:  2021-11-30       Impact factor: 3.576

  4 in total

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