2015
DOI: 10.1016/j.jvoice.2014.10.001
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Influence of F0 and Sequence Length of Audio and Electroglottographic Signals on Perturbation Measures for Voice Assessment

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Cited by 7 publications
(8 citation statements)
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“…Parameters calculated directly from obtained data grant a certain objectivity of the analysis in contrast to subjective evaluation of voice quality and laryngeal imaging, which often results in a low inter- and intra-rater reliability [31, 32]. Still, different influences on parameters obtained from HSV and the audio signal, being sometimes recorded parallely to HSV [33, 34], are not understood in detail and are currently under investigation [3540]. There are several potential factors that can affect parameter values.…”
Section: Introductionmentioning
confidence: 99%
“…Parameters calculated directly from obtained data grant a certain objectivity of the analysis in contrast to subjective evaluation of voice quality and laryngeal imaging, which often results in a low inter- and intra-rater reliability [31, 32]. Still, different influences on parameters obtained from HSV and the audio signal, being sometimes recorded parallely to HSV [33, 34], are not understood in detail and are currently under investigation [3540]. There are several potential factors that can affect parameter values.…”
Section: Introductionmentioning
confidence: 99%
“…The number of oscillation cycles considered might also play a role in HSV parameter variability, as seen before in acoustic signals [49]; for example, the studies discussed here reported between around 4 and 110 oscillation cycles.…”
Section: Limitationsmentioning
confidence: 59%
“…Sci. 2018, 8, 2666 3 of 17 both can be influenced by different factors [34][35][36][37][38]. One of these factors is the recording frame rate, which was already investigated for acoustic and GAW signals.…”
Section: Introductionmentioning
confidence: 99%
“…Still, the application of recording frame rates of 4000 Hz in clinical studies was judged as justified, since the parameter changes between 4000 Hz and 15,000 Hz were relatively small for glottal dynamic characteristics and glottal perturbation characteristics. For acoustic signals, the stability of perturbation measures was investigated with deviating results [36][37][38]. Scherer et al suggested a minimal sequence length in the order of 100 cycles for the calculation of stable perturbation measures in the acoustic signal [36].…”
Section: Introductionmentioning
confidence: 99%
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