Literature DB >> 2045586

A system for signal processing and data extraction from aerodynamic, acoustic, and electroglottographic signals in the study of voice production.

J S Perkell1, E B Holmberg, R E Hillman.   

Abstract

A software system, implemented in the MITSYN languages, is described for signal processing and data extraction from oral airflow, intra-oral air pressure, vocal fold contact area (EGG) and sound pressure signals. Signal processing algorithms are specified in the form of block diagrams; examples are shown for demultiplexing signals into bandwidth-specific, time-aligned signal stream files and for inverse filtering the oral airflow waveform to obtain an approximation of the glottal airflow waveform. Interactive and algorithmic data extraction is performed with a menu-driven procedure that displays the stages of analysis, graphical indications of the results of algorithmically made decisions, and derived results. The system has proven to be useful for obtaining quantities of detailed data on voice production.

Mesh:

Year:  1991        PMID: 2045586     DOI: 10.1121/1.401011

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


  7 in total

1.  Evaluation of Glottal Inverse Filtering Algorithms Using a Physiologically Based Articulatory Speech Synthesizer.

Authors:  Yu-Ren Chien; Daryush D Mehta; Jón Guðnason; Matías Zañartu; Thomas F Quatieri
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2017-06-12

2.  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

3.  Glottal Aerodynamic Measures in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction.

Authors:  Víctor M Espinoza; Matías Zañartu; Jarrad H Van Stan; Daryush D Mehta; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2017-08-16       Impact factor: 2.297

4.  Glottal Aerodynamics Estimated From Neck-Surface Vibration in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction.

Authors:  Víctor M Espinoza; Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman; Matías Zañartu
Journal:  J Speech Lang Hear Res       Date:  2020-08-05       Impact factor: 2.297

5.  Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration.

Authors:  Juan P Cortés; Víctor M Espinoza; Marzyeh Ghassemi; Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman; John V Guttag; Matías Zañartu
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

6.  Estimation of Subglottal Pressure, Vocal Fold Collision Pressure, and Intrinsic Laryngeal Muscle Activation From Neck-Surface Vibration Using a Neural Network Framework and a Voice Production Model.

Authors:  Emiro J Ibarra; Jesús A Parra; Gabriel A Alzamendi; Juan P Cortés; Víctor M Espinoza; Daryush D Mehta; Robert E Hillman; Matías Zañartu
Journal:  Front Physiol       Date:  2021-09-01       Impact factor: 4.566

7.  Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Matías Zañartu; Marzyeh Ghassemi; John V Guttag; Víctor M Espinoza; Juan P Cortés; Harold A Cheyne; Robert E Hillman
Journal:  Front Bioeng Biotechnol       Date:  2015-10-16
  7 in total

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