Assessment of the variability of vocal fold dynamics within and between recordings with high‐speed imaging and by phonovibrogram

Abstract

Analysis suggests that endoscopic parameters obtained from phonovibrograms are consistent from day to day in normal voices. Further studies are needed to objectively rate the presence and degree of these parameters in disordered voices.

Characteristics of Vocal Fold Vibrations in Vocally Healthy Subjects: Analysis With Multi-Line Kymography

“…For instance, young women were also reported to show a PA opening and AP closing pattern of vocal fold movement in the previous studies performed with videostroboscopy (Biever & Bless, 1989), phonovibrography (Döllinger et al, 2009;Kunduk et al, 2010;Lohscheller, Eysholdt, Toy, & Döllinger, 2008), and multi-line kymography (Orlikoff et al, 2012). The variations of opening and closing detected in young men were also consistent with the results of other studies.…”

“…Frame-by-frame analysis, a traditional method of assessing HSDI data by visual inspection, has the problem of subjectivity, although spatiotemporal evaluation is possible (Yamauchi et al, 2012). Phonovibrography is another suitable method for spatiotemporal assessment Döllinger et al, 2009;Kunduk, Döllinger, McWhorter, & Lohscheller, 2010;Inwald et al, 2011). This method is especially effective for analyzing longitudinal and temporal aspects of vocal fold vibration, but mediolateral evaluation is rather complicated.…”

Measurement of Glottal Cycle Characteristics Between Children and Adults: Physiological Variations

“…The criterion of a minimum of 50 oscillation cycles of steady phonation was defined empirically and has been used successfully in previous studies. 31,33 The segmentation of the steady state phonation was guided by inspecting the pitch trace, Root Mean Square (RMS) contour, and wideband spectrogram on TF32 34 an acoustic software analysis program. The acoustic tracings were examined both visually and quantitatively for 20Hz shift in 20 millisecond window for steady state phonation.…”

Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features

“…However, without adequate image analysis there is hardly an additional benefit comparing to the currently used stroboscopy technique in sense of evidenced based medicine. The Phonovibrogram (PVG) has the potential to overcome the subjective or semi-automatic assessment of high-speed videos (Kunduk et al, 2010). Within this study it was proven that PVG image analysis has the necessary sensitivity to capture even minor alterations within vocal fold vibrations induced just by frequency and intensity variations.…”

“…PVG analysis demonstrates that the complex two-dimensional vibratory patterns of vocal folds can robustly be described . It further establishes an objective basis for novel automatic analysis and classification approaches Lohscheller et al 2008b, Kunduk et al 2010. Within this work we propose a novel approach to achieve a fully automatic analysis of PVG images for detecting even slight alterations within underlying vocal fold vibrations: After segmenting the vocal fold vibrations from HSI and computing the appropriate PVG image matrix a set of novel PVG features will be introduced which describe the main characteristics of vocal fold dynamics.…”