Control of Fundamental Frequency in Dysphonic Patients During Phonation and Speech

Ziethe, Anke; Petermann, Simon; Hoppe, Ulrich; Greiner, N.; Brüning, M.; Bohr, Christopher; Döllinger, Michael

doi:10.1016/j.jvoice.2018.07.001

Cited by 19 publications

(16 citation statements)

References 32 publications

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“…Conflicting with evidence from a prior study 24 that informed the second study hypothesis, no statistical differences were found for reflexive f o response magnitudes between the HVD and control groups (regardless of singing experience). This result is likely driven by the substantial differences in methodology between the two studies.…”

Section: Discussioncontrasting

confidence: 89%

“…The present study aimed to examine a large group of speakers with HVDs (N = 62) and a hearing-, sex-, and age-matched control group (N = 62), whereas the previous study examined reflexive responses from only 10 speakers with HVDs (aged 21–64 years) and 17 controls (aged 20–30 years). The prior work reported greater reflexive f o response magnitudes in the HVD group 24 , but these may have resulted from the small sample size or age characteristics of the HVD group (reflexive response magnitudes increase with aging 36 , 37 ). The reflexive response methods may also explain the disparate results between the studies.…”

Section: Discussionmentioning

confidence: 86%

“…The earlier study, which examined a 0–500 ms window following a brief voice shift, may have included components of a second, voluntary vocal response that is thought occur after ~ 265 ms 41 . Further, a very large shift was applied in the previous work (700 cents 24 ) when compared to prior reflexive f o paradigms (ranging from 50 to 200 cents 29 – 31 ). The size of the voice shift is known to influence response magnitudes, presumably because speakers may no longer perceive a drastically altered voice as their own 29 .…”

Section: Discussionmentioning

confidence: 99%

“…First, comparisons of shifted and non-shifted voice f o can be used in listening tasks to find auditory discrimination thresholds 27 , 28 . Second, sudden, unexpected shifts in auditory f o feedback yield ‘reflexive’ responses, which provide information about corrective vocal motor plans 24 , 29 – 31 . Third, sustained, predictable shifts in auditory f o feedback yield ‘adaptive’ responses, which demonstrate whether the feedforward system has incorporated corrections and updated subsequent vocal motor plans (auditory-motor integration 25 , 32 ).…”

Section: Introductionmentioning

confidence: 99%

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Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders

Abur

Subaciute

Kapsner-Smith

et al. 2021

Sci Rep

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Hyperfunctional voice disorders (HVDs) are the most common class of voice disorders, consisting of diagnoses such as vocal fold nodules and muscle tension dysphonia. These speech production disorders result in effort, fatigue, pain, and even complete loss of voice. The mechanisms underlying HVDs are largely unknown. Here, the auditory-motor control of voice fundamental frequency (fo) was examined in 62 speakers with and 62 speakers without HVDs. Due to the high prevalence of HVDs in singers, and the known impacts of singing experience on auditory-motor function, groups were matched for singing experience. Speakers completed three tasks, yielding: (1) auditory discrimination of voice fo; (2) reflexive responses to sudden fo shifts; and (3) adaptive responses to sustained fo shifts. Compared to controls, and regardless of singing experience, individuals with HVDs showed: (1) worse auditory discrimination; (2) comparable reflexive responses; and (3) a greater frequency of atypical adaptive responses. Atypical adaptive responses were associated with poorer auditory discrimination, directly implicating auditory function in this motor disorder. These findings motivate a paradigm shift for understanding development and treatment of HVDs.

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Section: Discussioncontrasting

confidence: 89%

Section: Discussionmentioning

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders

Abur

Subaciute

Kapsner-Smith

et al. 2021

Sci Rep

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“…In a clinical setting, we recommend GAT for pre-post comparisons. GAT has been already used for comparing voice quality pre-post surgery (Sebova et al, 2019), pre-post voice treatment (Echternach, Raschka, et al, 2020), and pre-post vocal task (Dippold et al, 2015;Echternach et al, 2017) and how quantitative parameters vary in patient populations (Arbeiter et al, 2018;Ziethe et al, 2019). With our fully automatic glottis segmentation procedure, a straightforward workflow and an easy-to-use graphical user interface, a patient's data set can be segmented and analyzed in minutes even from untrained personnel.…”

Section: Clinical Applicationmentioning

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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Auditory Perception of Roughness and Breathiness by Dysphonic Women

Paz

Almeida

et al. 2022

Journal of Voice

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Control of Fundamental Frequency in Dysphonic Patients During Phonation and Speech

Cited by 19 publications

References 32 publications

Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders

Impaired auditory discrimination and auditory-motor integration in hyperfunctional voice disorders

A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

Auditory Perception of Roughness and Breathiness by Dysphonic Women

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