Spatial Information on Voice Generation from a Multi-Channel Electroglottograph
AbstractIn the acoustics of human voice, an important role is reserved for the study of larynx movements. One of the most important aspects of the physical behavior of the larynx is the proper description and simulation of swallowing and singing register changes, which require complex laryngeal manoeuvres. In order to describe (and solve, in some cases) these actions, it is fundamental to analyze the accurate synchronization of vocal fold adduction/abduction and the change of the larynx position. In the case of dysfunction, which often occurs for professional singers, this synchronization can be disturbed. The simultaneous assessment of glottal dynamics (typically electroglottograph, EGG signal) and larynx position might be useful for the diagnosis of disordered voice and swallowing. Currently, it is very difficult to instantaneously gather this information because of technology problems. In this work, we implemented a time-multiplex measurement approach of space-resolved transfer impedances through the larynx (Multi-Channel electroglottograph MC-EGG). For this purpose, we developed specific software (Labview code) for the visualization of the main waveforms in the study of the EGG signals. Moreover, the data acquired by the Labview code have been used to create a theoretical algorithm for deriving the position of the larynx inside the neck. Finally, we verified the results of the algorithm for the 3D larynx movement by comparing the data acquired with the values described in the literature. The paths of the larynx and the displacement on the sagittal and transverse plans matched the ones known for the emission of low/high notes and for swallowing. Besides, we have introduced the possibility to study the movement on the coronal (x) plan (so far, unexplored), which might be a starting point for further analysis. View Full-Text
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Tronchin, L.; Kob, M.; Guarnaccia, C. Spatial Information on Voice Generation from a Multi-Channel Electroglottograph. Appl. Sci. 2018, 8, 1560.
Tronchin L, Kob M, Guarnaccia C. Spatial Information on Voice Generation from a Multi-Channel Electroglottograph. Applied Sciences. 2018; 8(9):1560.Chicago/Turabian Style
Tronchin, Lamberto; Kob, Malte; Guarnaccia, Claudio. 2018. "Spatial Information on Voice Generation from a Multi-Channel Electroglottograph." Appl. Sci. 8, no. 9: 1560.
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