Article ; Online: An Investigation of Acoustic Back-Coupling in Human Phonation on a Synthetic Larynx Model
Bioengineering, Vol 10, Iss 12, p
2023 Volume 1343
Abstract: In the human phonation process, acoustic standing waves in the vocal tract can influence the fluid flow through the glottis as well as vocal fold oscillation. To investigate the amount of acoustic back-coupling, the supraglottal flow field has been ... ...
Abstract | In the human phonation process, acoustic standing waves in the vocal tract can influence the fluid flow through the glottis as well as vocal fold oscillation. To investigate the amount of acoustic back-coupling, the supraglottal flow field has been recorded via high-speed particle image velocimetry (PIV) in a synthetic larynx model for several configurations with different vocal tract lengths. Based on the obtained velocity fields, acoustic source terms were computed. Additionally, the sound radiation into the far field was recorded via microphone measurements and the vocal fold oscillation via high-speed camera recordings. The PIV measurements revealed that near a vocal tract resonance frequency f R , the vocal fold oscillation frequency f o (and therefore also the flow field’s fundamental frequency) jumps onto f R . This is accompanied by a substantial relative increase in aeroacoustic sound generation efficiency. Furthermore, the measurements show that f o - f R -coupling increases vocal efficiency, signal-to-noise ratio, harmonics-to-noise ratio and cepstral peak prominence. At the same time, the glottal volume flow needed for stable vocal fold oscillation decreases strongly. All of this results in an improved voice quality and phonation efficiency so that a person phonating with f o - f R -coupling can phonate longer and with better voice quality. |
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Keywords | human phonation ; source–filter interaction ; particle image velocimetry ; synthetic larynx model ; transmission line model ; aeroacoustic source computation ; Technology ; T ; Biology (General) ; QH301-705.5 |
Subject code | 535 |
Language | English |
Publishing date | 2023-11-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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