Literature DB >> 8747815

Comparisons among aerodynamic, electroglottographic, and acoustic spectral measures of female voice.

E B Holmberg1, R E Hillman, J S Perkell, P C Guiod, S L Goldman.   

Abstract

This study examines measures of the glottal airflow waveform, the electroglottographic signal (EGG), amplitude differences between peaks in the acoustic spectrum, and observations of the spectral energy content of the third formant (F3), in terms of how they relate to one another. Twenty females with normal voices served as subjects. Both group and individual data were studied. Measurements were made for the vowel in two speech tasks: strings of the syllable /pae/and sustained phonation of /ae/, which were produced at two levels of vocal effort: comfortable and loud voice. The main results were: 1. Significant differences in parameter values between /pae/and/ae/were related to significant differences in the sound pressure level (SPL). 2. An "adduction quotient," measured from the glottal waveform at a 30% criterion, was sensitive enough to differentiate between waveforms reflecting abrupt versus gradual vocal fold closing movements. 3. DC flow showed weak or nonsignificant relationships with acoustic measures. 4. The spectral content in the third formant (F3) in comfortable loudness typically consisted of a mix of noise and harmonic energy. In loud voice, the F3 spectral content typically consisted of harmonic energy. 5. Significant differences were found in all measures between tokens with F3 harmonic energy and tokens with F3 noise, independent of loudness condition. 6. Strong relationships between flow- and EGG-adduction quotients suggested that these signals can be used to complement each other. 7. The amplitude difference between spectral peaks of the first and third formant (F1-F3) was found to add information about abruptness of airflow decrease (flow declination) that may be lost in the glottal waveform signal due to low-pass filtering. The results are discussed in terms of how an integrated use of these measures can contribute to a better understanding of the normal vocal mechanism and help to improve methods for evaluating vocal function.

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Year:  1995        PMID: 8747815     DOI: 10.1044/jshr.3806.1212

Source DB:  PubMed          Journal:  J Speech Hear Res        ISSN: 0022-4685


  18 in total

1.  Investigating acoustic correlates of human vocal fold vibratory phase asymmetry through modeling and laryngeal high-speed videoendoscopy.

Authors:  Daryush D Mehta; Matías Zaéartu; Thomas F Quatieri; Dimitar D Deliyski; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  High-speed videoendoscopic analysis of relationships between cepstral-based acoustic measures and voice production mechanisms in patients undergoing phonomicrosurgery.

Authors:  Daryush D Mehta; Steven M Zeitels; James A Burns; Aaron D Friedman; Dimitar D Deliyski; Robert E Hillman
Journal:  Ann Otol Rhinol Laryngol       Date:  2012-05       Impact factor: 1.547

3.  Relation of structural and vibratory kinematics of the vocal folds to two acoustic measures of breathy voice based on computational modeling.

Authors:  Robin A Samlan; Brad H Story
Journal:  J Speech Lang Hear Res       Date:  2011-04-15       Impact factor: 2.297

4.  Acoustic and laryngographic measures of the laryngeal reflexes of linguistic prominence and vocal effort in German.

Authors:  Christine Mooshammer
Journal:  J Acoust Soc Am       Date:  2010-02       Impact factor: 1.840

5.  Effects of low-pass filtering on acoustic analysis of voice.

Authors:  Julia K MacCallum; Aleksandra E Olszewski; Yu Zhang; Jack J Jiang
Journal:  J Voice       Date:  2010-03-25       Impact factor: 2.009

6.  Toward a Consensus Description of Vocal Effort, Vocal Load, Vocal Loading, and Vocal Fatigue.

Authors:  Eric J Hunter; Lady Catherine Cantor-Cutiva; Eva van Leer; Miriam van Mersbergen; Chaya Devie Nanjundeswaran; Pasquale Bottalico; Mary J Sandage; Susanna Whitling
Journal:  J Speech Lang Hear Res       Date:  2020-02-19       Impact factor: 2.297

7.  Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Authors:  Matías Zañartu; Gabriel E Galindo; Byron D Erath; Sean D Peterson; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

8.  Laryngeal Aerodynamics in Healthy Older Adults and Adults With Parkinson's Disease.

Authors:  Deborah Matheron; Elaine T Stathopoulos; Jessica E Huber; Joan E Sussman
Journal:  J Speech Lang Hear Res       Date:  2017-03-01       Impact factor: 2.297

9.  Variability in the relationships among voice quality, harmonic amplitudes, open quotient, and glottal area waveform shape in sustained phonation.

Authors:  Jody Kreiman; Yen-Liang Shue; Gang Chen; Markus Iseli; Bruce R Gerratt; Juergen Neubauer; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

10.  Measures of spectral slope using an excised larynx model.

Authors:  Fariborz Alipour; Ronald C Scherer; Eileen Finnegan
Journal:  J Voice       Date:  2011-11-06       Impact factor: 2.009

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