Literature DB >> 15807025

Measurements of glottal structure dynamics.

John F Holzrichter1, Lawrence C Ng, Gerry J Burke, Nathan J Champagne, Jeffrey S Kallman, Robert M Sharpe, James B Kobler, Robert E Hillman, John J Rosowski.   

Abstract

Low power, radarlike electromagnetic (EM) wave sensors, operating in a homodyne interferometric mode, are being used to measure tissue motions in the human vocal tract during speech. However, when these and similar sensors are used in front of the laryngeal region during voiced speech, there remains an uncertainty regarding the contributions to the sensor signal from vocal fold movements versus those from pressure induced trachea-wall movements. Several signal-source hypotheses are tested by performing experiments with a subject who had undergone tracheostomy, and who still was able to phonate when her stoma was covered (e.g., with a plastic plate). Laser-doppler motion-measurements of the subject's posterior trachea show small tissue movements, about 15 microns, that do not contribute significantly to signals from presently used EM sensors. However, signals from the anterior wall do contribute. EM sensor and air-pressure measurements, together with 3-D EM wave simulations, show that EM sensors measure movements of the vocal folds very well. The simulations show a surprisingly effective guiding of EM waves across the vocal fold membrane, which, upon glottal opening, are interrupted and reflected. These measurements are important for EM sensor applications to speech signal de-noising, vocoding, speech recognition, and diagnostics.

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Year:  2005        PMID: 15807025     DOI: 10.1121/1.1842775

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


  2 in total

1.  Time-Varying Vocal Folds Vibration Detection Using a 24 GHz Portable Auditory Radar.

Authors:  Hong Hong; Heng Zhao; Zhengyu Peng; Hui Li; Chen Gu; Changzhi Li; Xiaohua Zhu
Journal:  Sensors (Basel)       Date:  2016-07-28       Impact factor: 3.576

2.  Detection of the Vibration Signal from Human Vocal Folds Using a 94-GHz Millimeter-Wave Radar.

Authors:  Fuming Chen; Sheng Li; Yang Zhang; Jianqi Wang
Journal:  Sensors (Basel)       Date:  2017-03-08       Impact factor: 3.576

  2 in total

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