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Modelling sound production from an aerodynamical model of the human newborn larynx

Authors :
Maurice Ouaknine
Jérome Giordano
Antoine Giovanni
Yves Burtschell
Pierre Perrier
Richard Nicollas
Jean-Michel Triglia
Marc Medale
Aix Marseille Université (AMU)
Institut universitaire des systèmes thermiques industriels (IUSTI)
Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Source :
Biomedical Signal Processing and Control, Biomedical Signal Processing and Control, Elsevier, 2006, 1, pp.102-106. ⟨10.1016/j.bspc.2006.08.003⟩, Biomedical Signal Processing and Control, 2006, 1, pp.102-106. ⟨10.1016/j.bspc.2006.08.003⟩
Publication Year :
2006
Publisher :
HAL CCSD, 2006.

Abstract

International audience; Considering on the one hand the important histological differences that exist between newborn and adult vocal folds and on the other hand the specifical subglottal pressure at birth, the sound production in a newborn larynx is studied. The laryngotracheal airflow has been numerically modelled in order to evaluate its role in voice production by the larynx in newborn. The FFT spectrum of the pressure signal acquired just above the vocal folds was calculated and compared to the spectrum of a sound generated by an excised larynx. It can be determined that first, the computed pressure signal has a fundamental frequency close to that obtained experimentally with an excised larynx, and second the FFT spectra are qualitatively similar to one another. Third, the computed pressure fluctuation is strong enough to be detected by the human ear. The conclusion is that the airflow and the aerodynamical phenomena observed in a rigid geometry are, by themselves, able to produce a sound and consequently, are one of the several elements leading to sound production in the newborn larynx. #

Details

Language :
English
ISSN :
17468094
Database :
OpenAIRE
Journal :
Biomedical Signal Processing and Control, Biomedical Signal Processing and Control, Elsevier, 2006, 1, pp.102-106. ⟨10.1016/j.bspc.2006.08.003⟩, Biomedical Signal Processing and Control, 2006, 1, pp.102-106. ⟨10.1016/j.bspc.2006.08.003⟩
Accession number :
edsair.doi.dedup.....fceeca1892b6ad5a2a6696152b6d8617
Full Text :
https://doi.org/10.1016/j.bspc.2006.08.003⟩