Literature DB >> 27066520

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

Daryush D Mehta1, Jarrad H Van Stan2, Robert E Hillman3.   

Abstract

Monitoring subglottal neck-surface acceleration has received renewed attention due to the ability of low-profile accelerometers to confidentially and noninvasively track properties related to normal and disordered voice characteristics and behavior. This study investigated the ability of subglottal neck-surface acceleration to yield vocal function measures traditionally derived from the acoustic voice signal and help guide the development of clinically functional accelerometer-based measures from a physiological perspective. Results are reported for 82 adult speakers with voice disorders and 52 adult speakers with normal voices who produced the sustained vowels /a/, /i/, and /u/ at a comfortable pitch and loudness during the simultaneous recording of radiated acoustic pressure and subglottal neck-surface acceleration. As expected, timing-related measures of jitter exhibited the strongest correlation between acoustic and neck-surface acceleration waveforms (r ≤ 0.99), whereas amplitude-based measures of shimmer correlated less strongly (r ≤ 0.74). Additionally, weaker correlations were exhibited by spectral measures of harmonics-to-noise ratio (r ≤ 0.69) and tilt (r ≤ 0.57), whereas the cepstral peak prominence correlated more strongly (r ≤ 0.90). These empirical relationships provide evidence to support the use of accelerometers as effective complements to acoustic recordings in the assessment and monitoring of vocal function in the laboratory, clinic, and during an individual's daily activities.

Entities:  

Keywords:  ambulatory voice monitoring; cepstral peak prominence; harmonics-to-noise ratio; neck-surface accelerometer; vocal function analysis; vocal perturbation

Year:  2016        PMID: 27066520      PMCID: PMC4826073          DOI: 10.1109/TASLP.2016.2516647

Source DB:  PubMed          Journal:  IEEE/ACM Trans Audio Speech Lang Process


  32 in total

1.  A voice accumulator device: evaluation based on studio and field recordings.

Authors:  A Szabo; B Hammarberg; A Håkansson; M Södersten
Journal:  Logoped Phoniatr Vocol       Date:  2001       Impact factor: 1.487

2.  Resonances and wave propagation velocity in the subglottal airways.

Authors:  Steven M Lulich; Abeer Alwan; Harish Arsikere; John R Morton; Mitchell S Sommers
Journal:  J Acoust Soc Am       Date:  2011-10       Impact factor: 1.840

3.  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

4.  Noise estimation in voice signals using short-term cepstral analysis.

Authors:  Peter J Murphy; Olatunji O Akande
Journal:  J Acoust Soc Am       Date:  2007-03       Impact factor: 1.840

5.  Air-borne and tissue-borne sensitivities of bioacoustic sensors used on the skin surface.

Authors:  Matías Zañartu; Julio C Ho; Steve S Kraman; Hans Pasterkamp; Jessica E Huber; George R Wodicka
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-31       Impact factor: 4.538

6.  Measuring the neck frequency response function of laryngectomy patients: implications for the design of electrolarynx devices.

Authors:  Geoffrey S Meltzner; James B Kobler; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2003-08       Impact factor: 1.840

7.  Analysis, synthesis, and perception of voice quality variations among female and male talkers.

Authors:  D H Klatt; L C Klatt
Journal:  J Acoust Soc Am       Date:  1990-02       Impact factor: 1.840

8.  Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodules.

Authors:  Marzyeh Ghassemi; Jarrad H Van Stan; Daryush D Mehta; Matías Zañartu; Harold A Cheyne; Robert E Hillman; John V Guttag
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

9.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

10.  An accelerometric measure as a physical correlate of perceived hypernasality in speech.

Authors:  Y Horii
Journal:  J Speech Hear Res       Date:  1983-09
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  25 in total

1.  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

2.  Measuring vocal motor skill with a virtual voice-controlled slingshot.

Authors:  Jarrad H Van Stan; Se-Woong Park; Matthew Jarvis; Daryush D Mehta; Robert E Hillman; Dagmar Sternad
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

3.  Acoustic speech analysis of patients with decompensated heart failure: A pilot study.

Authors:  Olivia M Murton; Robert E Hillman; Daryush D Mehta; Marc Semigran; Maureen Daher; Thomas Cunningham; Karla Verkouw; Sara Tabtabai; Johannes Steiner; G William Dec; Dennis Ausiello
Journal:  J Acoust Soc Am       Date:  2017-10       Impact factor: 1.840

4.  Differences in Weeklong Ambulatory Vocal Behavior Between Female Patients With Phonotraumatic Lesions and Matched Controls.

Authors:  Jarrad H Van Stan; Daryush D Mehta; Andrew J Ortiz; James A Burns; Laura E Toles; Katherine L Marks; Mark Vangel; Tiffiny Hron; Steven Zeitels; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2020-01-29       Impact factor: 2.297

5.  Impact of Nonmodal Phonation on Estimates of Subglottal Pressure From Neck-Surface Acceleration in Healthy Speakers.

Authors:  Katherine L Marks; Jonathan Z Lin; Annie B Fox; Laura E Toles; Daryush D Mehta
Journal:  J Speech Lang Hear Res       Date:  2019-09-13       Impact factor: 2.297

6.  Estimation of Subglottal Pressure From Neck Surface Vibration in Patients With Voice Disorders.

Authors:  Katherine L Marks; Jonathan Z Lin; James A Burns; Tiffiny A Hron; Robert E Hillman; Daryush D Mehta
Journal:  J Speech Lang Hear Res       Date:  2020-07-01       Impact factor: 2.297

7.  Ambulatory monitoring of Lombard-related vocal characteristics in vocally healthy female speakers.

Authors:  Thomas H Whittico; Andrew J Ortiz; Katherine L Marks; Laura E Toles; Jarrad H Van Stan; Robert E Hillman; Daryush D Mehta
Journal:  J Acoust Soc Am       Date:  2020-06       Impact factor: 1.840

8.  Improved subglottal pressure estimation from neck-surface vibration in healthy speakers producing non-modal phonation.

Authors:  Jon Z Lin; Víctor M Espinoza; Katherine L Marks; Matías Zañartu; Daryush D Mehta
Journal:  IEEE J Sel Top Signal Process       Date:  2019-12-12       Impact factor: 6.856

9.  Acoustic Measures of Voice and Physiologic Measures of Autonomic Arousal during Speech as a Function of Cognitive Load.

Authors:  Megan K MacPherson; Defne Abur; Cara E Stepp
Journal:  J Voice       Date:  2016-12-06       Impact factor: 2.009

10.  Estimating Subglottal Pressure From Neck-Surface Acceleration During Normal Voice Production.

Authors:  Amanda S Fryd; Jarrad H Van Stan; Robert E Hillman; Daryush D Mehta
Journal:  J Speech Lang Hear Res       Date:  2016-12-01       Impact factor: 2.297

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