The Effect of Nasalance on Vocal Fold Oscillation Patterns During the Male Passaggio

Echternach, Matthias; Högerle, Catalina; Köberlein, Marie; Schlegel, Patrick; Döllinger, Michael; Richter, Bernhard; Kainz, Marie-Anne

doi:10.1016/j.jvoice.2019.09.013

Cited by 15 publications

(5 citation statements)

References 21 publications

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“…Thus, one may agree that singing at a higher range requires great skills in controlling the physiological parameters that determine voice quality (Jeanneteau et al, 2020;Neumann et al, 2005;Sulter et al, 1995;Unteregger et al, 2020), being perceived by singers as a greater challenge. Moreover, to be able to sing comfortably at pitches situated at transitional regions of the voice, fine neuromotor control of breath energy, voice source and articulatory adjustments is required (Echternach et al, 2017(Echternach et al, , 2021Neumann et al, 2005). Within these regions, unexpected perturbations of vocal folds vibrations may occur, resulting in loss of vocal control with sudden pitch jumps, unwanted voice distortions and problems with intonation (Titze, 2008).…”

Section: Discussionmentioning

confidence: 99%

Development and validation of the Singing Voice Function Self-Efficacy Scale (Singing-VoSES)

Lã

Fiuza

Ramírez

et al. 2023

Psychology of Music

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This investigation aimed at developing and validating a scale measuring perceived self-efficacy in singing with respect to voice function, the Singing Voice Function Self-Efficacy Scale ( Singing-VoSES). Voice experts validated an 18-item scale, subsequently administered online, targeting specifically professional and semi-professional female singers. These inclusion criteria were met by a total of 439 participants. Results of both exploratory and confirmatory factorial analysis suggest that Singing-VoSES is a valid scale, with items grouped into three self-efficacy dimensions: Higher Range and Transitions, Middle Range and Lower Range. Middle Range and Lower Range dimensions were both significantly higher than Higher Range and Transitions. Singing high notes and notes within transitional vocal ranges require a refined neuromotor control of the voice, and thus may be particularly challenging. Comparisons between pre and postmenopausal singers were made, as menopause has been associated with changes in voice function. Significantly lower self-efficacies for Higher Range and Transitions and Middle Range were found in post as compared to premenopausal singers. This result, together with the possible lack of coping strategies, may contribute to negative impacts on singers’ performances and, ultimately, lead to premature retirement from public performances. Thus, monitoring self-efficacy with respect to voice function seems relevant, particularly when assisting singers experiencing menopause-related voice difficulties.

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Section: Discussionmentioning

confidence: 99%

Development and validation of the Singing Voice Function Self-Efficacy Scale (Singing-VoSES)

Lã

Fiuza

Ramírez

et al. 2023

Psychology of Music

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“…This software is an easyto-use, state-of-the-art tool helping to bring HSV to the daily clinical routine in the near future. To date, GAT has been successfully used in numerous in vivo and ex vivo studies (Arbeiter et al, 2018;Dippold et al, 2015;Döllinger et al, 2018;Echternach et al, 2017Echternach et al, , 2019Gómez et al, 2018;Semmler et al, 2018), and it has even been utilized in related fields, for example, for flow field estimation of aerosols (Echternach, Gantner, et al, 2020) due to its powerful segmentation capabilities. Currently, GAT is used in 27 departments across seven countries.…”

Section: Discussionmentioning

confidence: 99%

“…data, and data analysis for both video and audio data of various sources. Among others, GAT was already successfully applied for in vivo recordings of humans and animals, ex vivo recordings of humans and animals, and recordings of artificial vocal folds Döllinger et al, 2018;Echternach et al, 2017Echternach et al, , 2019Echternach, Raschka, et al, 2020;Gómez et al, 2018;Maryn et al, 2019;Semmler et al, 2017Semmler et al, , 2018. In the following, we expand on GAT's functionality.…”

Section: Symmetry Measuresmentioning

confidence: 99%

A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

Kist

Gómez

Dubrovskiy

et al. 2021

J Speech Lang Hear Res

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Purpose High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various studies; however, the proposed approaches are mostly limited and not suitable for daily clinical routine. Method We developed a user-friendly software in C# that allows the editing, motion correction, segmentation, and quantitative analysis of HSV data. We further provide pretrained deep neural networks for fully automatic glottis segmentation. Results We freely provide our software Glottis Analysis Tools (GAT). Using GAT, we provide a general threshold-based region growing platform that enables the user to analyze data from various sources, such as in vivo recordings, ex vivo recordings, and high-speed footage of artificial vocal folds. Additionally, especially for in vivo recordings, we provide three robust neural networks at various speed and quality settings to allow a fully automatic glottis segmentation needed for application by untrained personnel. GAT further evaluates video and audio data in parallel and is able to extract various features from the video data, among others the glottal area waveform, that is, the changing glottal area over time. In total, GAT provides 79 unique quantitative analysis parameters for video- and audio-based signals. Many of these parameters have already been shown to reflect voice disorders, highlighting the clinical importance and usefulness of the GAT software. Conclusion GAT is a unique tool to process HSV and audio data to determine quantitative, clinically relevant parameters for research, diagnosis, and treatment of laryngeal disorders. Supplemental Material https://doi.org/10.23641/asha.14575533

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“…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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The Effect of Nasalance on Vocal Fold Oscillation Patterns During the Male Passaggio

Cited by 15 publications

References 21 publications

Development and validation of the Singing Voice Function Self-Efficacy Scale (Singing-VoSES)

Development and validation of the Singing Voice Function Self-Efficacy Scale (Singing-VoSES)

A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

Laryngeal Image Processing of Vocal Folds Motion

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