Abstract
The purpose of this study was to examine the acoustic and electroglottographic features in the characterization of passaggio in female singers. Three groups of female singers were instructed to sing the notes of the scale for one octave using an ah vowel. When singing this octave they sang through a register shift, which is called passaggio. Their singing voices were recorded in a two-channel dataset. The first channel captured the acoustic signal using a microphone, and the second channel captured the electroglottographic (EGG) signal using an EGG instrument. A customized MatLab algorithm was designed to analyze the features of the two-channel dataset that contribute to the characterization of the passaggio in female singers. Glottal measurements can give robust information on precise glottal closing moments using the derivative of the EGG signal (dEGG) and speech acoustic waveform measurements can give similar information on glottal opening moments using the derivative of the audio signal (dAUDIO). The results of this investigation also provide an analytical framework for calculating these differentiated signals in female singers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
