Literature DB >> 34649740

Characterization of Source-Filter Interactions in Vocal Vibrato Using a Neck-Surface Vibration Sensor: A Pilot Study.

Rosemary A Lester-Smith1, Elaina Derrick2, Charles R Larson3.   

Abstract

PURPOSE: Vocal vibrato is a singing technique that involves periodic modulation of fundamental frequency (fo) and intensity. The physiological sources of modulation within the speech mechanism and the interactions between the laryngeal source and vocal tract filter in vibrato are not fully understood. Therefore, the purpose of this study was to determine if differences in the rate and extent of fo and intensity modulation could be captured using simultaneously recorded signals from a neck-surface vibration sensor and a microphone, which represent features of the source before and after supraglottal vocal tract filtering.
METHOD: Nine classically-trained singers produced sustained vowels with vibrato while simultaneous signals were recorded using a vibration sensor and a microphone. Acoustical analyses were performed to measure the rate and extent of fo and intensity modulation for each trial. Paired-samples sign tests were used to analyze differences between the rate and extent of fo and intensity modulation in the vibration sensor and microphone signals.
RESULTS: The rate and extent of fo modulation and the extent of intensity modulation were equivalent in the vibration sensor and microphone signals, but the rate of intensity modulation was significantly higher in the microphone signal than in the vibration sensor signal. Larger differences in the rate of intensity modulation were seen with vowels that typically have smaller differences between the first and second formant frequencies.
CONCLUSIONS: This study demonstrated that the rate of intensity modulation at the source prior to supraglottal vocal tract filtering, as measured in neck-surface vibration sensor signals, was lower than the rate of intensity modulation after supraglottal vocal tract filtering, as measured in microphone signals. The difference in rate varied based on the vowel. These findings provide further support of the resonance-harmonics interaction in vocal vibrato. Further investigation is warranted to determine if differences in the physiological source(s) of vibrato account for inconsistent relationships between the extent of intensity modulation in neck-surface vibration sensor and microphone signals.
Copyright © 2021 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Modulation; Source-filter; Vibrato

Year:  2021        PMID: 34649740      PMCID: PMC8995401          DOI: 10.1016/j.jvoice.2021.08.004

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


  34 in total

1.  Nonlinear source-filter coupling in phonation: theory.

Authors:  Ingo R Titze
Journal:  J Acoust Soc Am       Date:  2008-05       Impact factor: 1.840

2.  The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation.

Authors:  Daryush D Mehta; Víctor M Espinoza; Jarrad H Van Stan; Matías Zañartu; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

3.  Physiologic and acoustic patterns of essential vocal tremor.

Authors:  Rosemary A Lester; Julie Barkmeier-Kraemer; Brad H Story
Journal:  J Voice       Date:  2013-03-13       Impact factor: 2.009

4.  Freddie Mercury-acoustic analysis of speaking fundamental frequency, vibrato, and subharmonics.

Authors:  Christian T Herbst; Stellan Hertegard; Daniel Zangger-Borch; Per-Åke Lindestad
Journal:  Logoped Phoniatr Vocol       Date:  2016-04-15       Impact factor: 1.487

5.  Aerodynamic investigation of sources of vibrato.

Authors:  M Rothenberg; D Miller; R Molitor
Journal:  Folia Phoniatr (Basel)       Date:  1988

6.  Development and validation of the vocal tremor scoring system.

Authors:  Michiel Bové; Nicole Daamen; Clark Rosen; Chen-Chi Wang; Lucian Sulica; Jackie Gartner-Schmidt
Journal:  Laryngoscope       Date:  2006-09       Impact factor: 3.325

7.  Relationships between vocal function measures derived from an acoustic microphone and a subglottal neck-surface accelerometer.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2016-01-11

8.  New Evidence That Nonlinear Source-Filter Coupling Affects Harmonic Intensity and fo Stability During Instances of Harmonics Crossing Formants.

Authors:  Lynn Maxfield; Anil Palaparthi; Ingo Titze
Journal:  J Voice       Date:  2016-08-05       Impact factor: 2.009

9.  Botulinum toxin type A for treating voice tremor.

Authors:  Charles H Adler; Stephen F Bansberg; Joseph G Hentz; Lorraine O Ramig; Eugene H Buder; Kristi Witt; Brian W Edwards; Kari Krein-Jones; John N Caviness
Journal:  Arch Neurol       Date:  2004-09

10.  The Distribution and Severity of Tremor in Speech Structures of Persons with Vocal Tremor.

Authors:  Abby L Hemmerich; Eileen M Finnegan; Henry T Hoffman
Journal:  J Voice       Date:  2016-06-08       Impact factor: 2.009

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