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Modelling sound production from an aerodynamical model of the human newborn larynx
- 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. #
- Subjects :
- Larynx
Acoustics
Airflow
Health Informatics
01 natural sciences
Signal
Articulatory phonetics
Modelling
03 medical and health sciences
Aerodynamics
[SPI]Engineering Sciences [physics]
0302 clinical medicine
0103 physical sciences
medicine
otorhinolaryngologic diseases
030223 otorhinolaryngology
010301 acoustics
Physics
Sound (medical instrument)
Fundamental frequency
Newborn larynx
Vorticity
medicine.anatomical_structure
Vocal folds
Sound production
Signal Processing
Subjects
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⟩