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  • 1.
    Selamtzis, Andreas
    et al.
    KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
    Ternström, Sten
    KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.
    Richter, Bernard
    Burk, Fabian
    Köberlein, Marie
    Echternach, Matthias
    A comparison of electroglottographic and glottal area waveforms for phonation type differentiation in male professional singers2018In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, ISSN 0001-4966, Vol. 144, no 6, p. 3275-3288Article in journal (Refereed)
    Abstract [en]

    This study compares the use of electroglottograms (EGGs) and glottal area waveforms (GAWs) to study phonation in different vibratory states as produced by professionally trained singers. Six western classical tenors were asked to phonate pitch glides from modal to falsetto phonation, or from modal to their stage voice above the passaggio (SVaP). For each pitch glide the sample entropy (SampEn) of the EGG signal was calculated to detect the occurrence of phonatory instabilities and establish a ᅵground truthᅵ for the performed phonation type. The cycles before the maximum SampEn were labeled as modal, and the cycles after the peak were labeled as either falsetto, or SVaP. Three automatic categorizations of vibratory state were performed using clustering: one based only on the EGG, one based on the GAW, and one based on their combination. The error rate (clustering vs ground truth) was, on average, lower than 10% for all of the three settings, revealing no special advantage of the GAW over EGG, and vice vers...

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