Oscillatory Characteristics of the Vocal Folds Across the Tenor Passaggio

Echternach, Matthias; Burk, Fabian; Köberlein, Marie; Herbst, Christian T.; Döllinger, Michael; Burdumy, Michael; Richter, Bernhard

doi:10.1016/j.jvoice.2016.06.015

Cited by 21 publications

(16 citation statements)

References 41 publications

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“…The data acquisition setup is described in detail in a previous publication [ 56 ]: Laryngeal endoscopy was performed trans-nasally using an ENF GP endoscope (Olympus, Hamburg, Germany) with a 38mm C-mount adapter (Karl Storz, Tuttlingen, Germany) and a 300W light source (Storz, Tuttlingen, Germany). Endoscopic laryngoscopy was recorded with a Fastcam SA-X2 high-speed video camera (Photron, Tokyo, Japan) operated at a frame rate of 20,000 frames per second and a spatial resolution of 386 x 320 pixels.…”

Section: Methodsmentioning

confidence: 99%

Laryngeal evidence for the first and second passaggio in professionally trained sopranos

et al. 2017

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IntroductionDue to a lack of empirical data, the current understanding of the laryngeal mechanics in the passaggio regions (i.e., the fundamental frequency ranges where vocal registration events usually occur) of the female singing voice is still limited.Material and methodsIn this study the first and second passaggio regions of 10 professionally trained female classical soprano singers were analyzed. The sopranos performed pitch glides from A3 (ƒo = 220 Hz) to A4 (ƒo = 440 Hz) and from A4 (ƒo = 440 Hz) to A5 (ƒo = 880 Hz) on the vowel [iː]. Vocal fold vibration was assessed with trans-nasal high speed videoendoscopy at 20,000 fps, complemented by simultaneous electroglottographic (EGG) and acoustic recordings. Register breaks were perceptually rated by 12 voice experts. Voice stability was documented with the EGG-based sample entropy. Glottal opening and closing patterns during the passaggi were analyzed, supplemented with open quotient data extracted from the glottal area waveform.ResultsIn both the first and the second passaggio, variations of vocal fold vibration patterns were found. Four distinct patterns emerged: smooth transitions with either increasing or decreasing durations of glottal closure, abrupt register transitions, and intermediate loss of vocal fold contact. Audible register transitions (in both the first and second passaggi) generally coincided with higher sample entropy values and higher open quotient variance through the respective passaggi.ConclusionsNoteworthy vocal fold oscillatory registration events occur in both the first and the second passaggio even in professional sopranos. The respective transitions are hypothesized to be caused by either (a) a change of laryngeal biomechanical properties; or by (b) vocal tract resonance effects, constituting level 2 source-filter interactions.

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Section: Methodsmentioning

confidence: 99%

Laryngeal evidence for the first and second passaggio in professionally trained sopranos

et al. 2017

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“…the segmentation masks for the data, is the GAT software developed in-house by the Erlangen group. The software is well known in the field and utilized by several renowned research groups to analyze HSV data 13,[58][59][60] . The software provides a semi-automatic method to create segmentation masks using a seed-based region growing algorithm that relies on grayscale thresholds.…”

Section: Videoendoscopy and Glottis Segmentation Several Imaging Tecmentioning

confidence: 99%

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation

et al. 2020

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Laryngeal videoendoscopy is one of the main tools in clinical examinations for voice disorders and voice research. Using high-speed videoendoscopy, it is possible to fully capture the vocal fold oscillations, however, processing the recordings typically involves a time-consuming segmentation of the glottal area by trained experts. Even though automatic methods have been proposed and the task is particularly suited for deep learning methods, there are no public datasets and benchmarks available to compare methods and to allow training of generalizing deep learning models. In an international collaboration of researchers from seven institutions from the EU and USa, we have created BaGLS, a large, multihospital dataset of 59,250 high-speed videoendoscopy frames with individually annotated segmentation masks. The frames are based on 640 recordings of healthy and disordered subjects that were recorded with varying technical equipment by numerous clinicians. the BaGLS dataset will allow an objective comparison of glottis segmentation methods and will enable interested researchers to train their own models and compare their methods.

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“…• The combination of HSV with acoustics and other physiological signals may provide complementary, high-precision measures that can improve the clinical practice [38,39]. • It is used to examine the basic physiology of different singing styles, such as extremely high-pitched singing, throat singing, or different pop and rock styles [40], and to study the oscillatory characteristics of the vocal folds across classical soprano and tenors singers [41,42]. • It is useful to get insights into tissue vibratory characteristics, influence of aerodynamical forces and muscular tension, vocal length, phonatory breaks, laryngeal spams, vocal folds contact and evaluation of normal laryngeal functioning in situation of rapid pitch change such as onset and offset of voicing or glides [5,43].…”

Section: Advantagesmentioning

confidence: 99%

“…There are also studies devoted to describe properties of laryngeal oscillation patterns with regard to vocal registers and their transitions [41,42,160,161]. In [160] the vocal fold oscillatory patterns during transitions from modal to falsetto register and from modal register to stage voice above the passaggio in professional tenor opera soloists were analyzed using PVG and DKG.…”

Section: Voice Research and Clinical Applicationsmentioning

confidence: 99%

Laryngeal Image Processing of Vocal Folds Motion

et al. 2020

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This review provides a comprehensive compilation, from a digital image processing point of view of the most important techniques currently developed to characterize and quantify the vibration behaviour of the vocal folds, along with a detailed description of the laryngeal image modalities currently used in the clinic. The review presents an overview of the most significant glottal-gap segmentation and facilitative playbacks techniques used in the literature for the mentioned purpose, and shows the drawbacks and challenges that still remain unsolved to develop robust vocal folds vibration function analysis tools based on digital image processing.

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Oscillatory Characteristics of the Vocal Folds Across the Tenor Passaggio

Cited by 21 publications

References 41 publications

Laryngeal evidence for the first and second passaggio in professionally trained sopranos

Laryngeal evidence for the first and second passaggio in professionally trained sopranos

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation

Laryngeal Image Processing of Vocal Folds Motion

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