ArticlePloS one2021
Interdependencies between acoustic and high-speed videoendoscopy parameters.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- How Well Will AI Help Recognize Voice Disorders? A State-of-the-art Review of Current Acoustic Assessment Strategies and Future Applications.World journal of otorhinolaryngology - head and neck surgery · 2025Review
- Assessment of the Interdependencies Between High-Speed Videoendoscopy and Simultaneously Recorded Audio Data in Various Glottal Pathologies.Biomedicines · 2025Article
- Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy.Frontiers in artificial intelligence · 2025Article
- Value of high-speed videoendoscopy as an auxiliary tool in differentiation of benign and malignant unilateral vocal lesions.Journal of cancer research and clinical oncology · 2024Article
- Vocal Folds' Oscillatory Characteristics After Photoangiolytic Laser Treatment Using the Blue Light Laser-A Pilot Study.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-facialeObservational
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Authors and funding
6 authors.
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Abstract
In voice research, uncovering relations between the oscillating vocal folds, being the sound source of phonation, and the resulting perceived acoustic signal are of great interest. This is especially the case in the context of voice disorders, such as functional dysphonia (FD). We investigated 250 high-speed videoendoscopy (HSV) recordings with simultaneously recorded acoustic signals (124 healthy females, 60 FD females, 44 healthy males, 22 FD males). 35 glottal area waveform (GAW) parameters and 14 acoustic parameters were calculated for each recording. Linear and non-linear relations between GAW and acoustic parameters were investigated using Pearson correlation coefficients (PCC) and distance correlation coefficients (DCC). Further, norm values for parameters obtained from 250 ms long sustained phonation data (vowel /i/) were provided. 26 PCCs in females (5.3%) and 8 in males (1.6%) were found to be statistically significant (|corr.| ≥ 0.3). Only minor differences were found between PCCs and DCCs, indicating presence of weak non-linear dependencies between parameters. Fundamental frequency was involved in the majority of all relevant PCCs between GAW and acoustic parameters (19 in females and 7 in males). The most distinct difference between correlations in females and males was found for the parameter Period Variability Index. The study shows only weak relations between investigated acoustic and GAW-parameters. This indicates that the reduction of the complex 3D glottal dynamics to the 1D-GAW may erase laryngeal dynamic characteristics that are reflected within the acoustic signal. Hence, other GAW parameters, 2D-, 3D-laryngeal dynamics and vocal tract parameters should be further investigated towards potential correlations to the acoustic signal.
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