Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

Yamauchi, Akihito; Yokonishi, Hisayuki; Imagawa, Hiroshi; Sakakibara, Ken-Ichi; Nito, Takaharu; Tayama, Niro; Yamasoba, Tatsuya

doi:10.1016/j.jvoice.2015.04.016

Cited by 54 publications

(29 citation statements)

References 38 publications

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“…Breathiness and pressedness were often investigated in the context of a breathinessnormal -pressed continuum. Breathiness was found to be associated with closure incompleteness [4,1,3,5], with higher values of the open quotient [6,7,8,9,10], with average glottal area in paralysed patients [11], with cycle shape differences in terms of Nyquist plot patterns [7], with GAW skewness [6], irregularity [3], increased ratio of cyclic GAW minima to maxima [12], perturbation of the GAW [7], zipperlike opening and closing of the vocal folds ("zipperlikeness") [13], asymmetry, closure inconsistency, amplitude differences, and mucosal wave differences [1], as well as with phonatory onset latency and a decreased speed of adduction at voice onset [5]. In contrast, pressedness was found to be associated with decreases of leftright and anterior-posterior phase differences [14], decreased open quotients [7,10,8], completeness of glottal closure [5], a decreased ratio of cyclic GAW minima to maxima [15], with GAW cycle shape [16], with decreased "zipperlikeness" [13], as well as with phonatory onset latency and speed of adduction [5].…”

Section: Introductionmentioning

confidence: 97%

Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold Vibration

Drioli

Aichinger

2019

Interspeech 2019

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We discuss the representation of anterior-posterior (A-P) phase differences in vocal cord oscillations through a numerical biomechanical model involving lumped elements as well as distributed elements, i.e., delay lines. A dynamic glottal source model is illustrated in which the fold displacement along the vertical and the longitudinal dimensions is explicitly modeled by numerical waveguide components representing the propagation on the fold cover tissue. In contrast to other models of the same class, in which the reproduction of longitudinal phase differences are intrinsically impossible (e.g., in two-mass models) or not easy to control explicitely (e.g., in 3D 16-mass and multi-mass models in general), the one proposed here provides direct control over the amount of phase delay between folds oscillations at the posterior and anterior side of the glottis, while keeping the dynamic model simple and computationally efficient. The model is assessed by addressing the reproduction of typical oscillatory patterns observed in high-speed videoendoscopic data, in which A-P phase differences are observed. Experimental results are provided which demonstrate the ability of the approach to effectively reproduce different oscillatory patterns of the vocal folds.

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Section: Introductionmentioning

confidence: 97%

Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold Vibration

Drioli

Aichinger

2019

Interspeech 2019

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“…For instance, parameters specific to PVG are proposed in [3], [8]. A comparative study conducted in [9] investigates the efficiency of parameters derived from different methods like GAW, DKG and the laryngotopography [10].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Healthy and Pathological Vocal Fold Vibrations using an Optical Flow based Waveform

Ammar¹

2019

IJACSA

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The objective assessment of the vocal fold vibrations is important in diagnosing several vocal diseases. Given the high speed of the vibrations, the high speed videoendoscopy is commonly used to capture the vocal fold movements into video recordings. Commonly, two steps are carried out in order to automatically quantify laryngeal parameters and assess the vibrations. The first step aims to map the spatial-temporal information contained in the video recordings into a representation that facilitates the analysis of the vibrations. Numerous techniques are reported in the literature but the majority of them require the segmentation of all the images of the video, which is a complex task. The second step aims to quantify laryngeal parameters in order to assess the vibrations. To this aim, most of the existing approaches require an additional processing to the representation in order to deduce those parameters. Furthermore, for some reported representations, the assessment of the symmetry and the periodicity of the vocal fold dynamics needs setting up parameters that are specific to the representation under consideration; which makes difficult the comparison between the existing techniques.To alleviate these problems, the present study investigates the use of a recently proposed representation named optical flow based waveform, in order to objectively quantify the laryngeal parameters. This waveform is retained in this study as it does not require the segmentation of all the images of the video. Furthermore, it will be shown in the present work that the automatic quantification of the vibrations using this waveform can be carried out without applying any additional processing. Moreover, common laryngeal parameters are exploited; hence, no specific parameters are needed to be defined for the automatic assessment of the vibrations. Experiments conducted on healthy and pathological phonation show the accuracy of the waveform. Besides, it is more sensitive to pathological phonation than the state-of-the-art techniques.

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“…The movement of the vocal folds is quasi-periodic for normal or modal voice. Disordered voice production is mainly due to irregularities or asymmetries of the vocal folds movement leading to disturbances in the voice signal [1]. Physiological alterations of the vocal folds cause unhealthy patterns of vocal folds vibration and decrease in patient speech signal quality known as voice pathologies.…”

Section: Introductionmentioning

confidence: 99%

Classification of Disorders in Vocal Folds Using Electroglottographic Signal

2018

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The main objective of this paper is to accurately classify the pathological voice based on the disorders in vocal folds. For this purpose, we have explored the phase of Electroglottographic (EGG) signal which carries significant information related to characteristics of vocal folds. Four important parameters, namely, close quotient, open quotient, average pitch period and jitter computed from the phase of the EGG signal have been explored for discriminating the patients based on the disorder in their vocal folds. These parameters have been used for classification of three types of vocal folds disorders: vocal nodules, vocal polyps and laryngitis. In this study, we have used the EGG signals of seventy-nine patients having disorders in vocal folds, collected from hospital. The database contains the simultaneous recording of speech and EGG signals of four vowel ('a','e','o','u') utterances. The experimental result shows that the proposed features extracted from phase, performed well in classification of patients according to the disorder in their vocal folds.

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Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

Cited by 54 publications

References 38 publications

Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold Vibration

Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold Vibration

Quantitative Analysis of Healthy and Pathological Vocal Fold Vibrations using an Optical Flow based Waveform

Classification of Disorders in Vocal Folds Using Electroglottographic Signal

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