Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Anne Schutzenberger"'
Autor:
Andreas M. Kist, Katharina Breininger, Marion Dörrich, Stephan Dürr, Anne Schützenberger, Marion Semmler
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Glottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in deep neural networks for glottis segmentation allow for a fully automatic workflow. However, exact knowledge of
Externí odkaz:
https://doaj.org/article/fe64eb9ca30846a9bca6c72154a7b593
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract High-speed videoendoscopy is an important tool to study laryngeal dynamics, to quantify vocal fold oscillations, to diagnose voice impairments at laryngeal level and to monitor treatment progress. However, there is a significant lack of an o
Externí odkaz:
https://doaj.org/article/7246be3aad1f4271934900a616afe39b
Autor:
Michael Döllinger, Pablo Gómez, Rita R Patel, Christoph Alexiou, Christopher Bohr, Anne Schützenberger
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187486 (2017)
Human voice is generated in the larynx by the two oscillating vocal folds. Owing to the limited space and accessibility of the larynx, endoscopic investigation of the actual phonatory process in detail is challenging. Hence the biomechanics of the hu
Externí odkaz:
https://doaj.org/article/3c9f743de3a044729742cf7b0c8c106c
Autor:
Hossein Sadeghi, Stefan Kniesburges, Sebastian Falk, Manfred Kaltenbacher, Anne Schützenberger, Michael Döllinger
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2288 (2019)
The enormous computational power and time required for simulating the complex phonation process preclude the effective clinical use of computational larynx models. The aim of this study was to evaluate the potential of a numerical larynx model, consi
Externí odkaz:
https://doaj.org/article/6f3ad7ee52464519954b14137d33d14e
Autor:
Fabian Thornton, Michael Döllinger, Stefan Kniesburges, David Berry, Christoph Alexiou, Anne Schützenberger
Publikováno v:
Applied Sciences, Vol 9, Iss 9, p 1963 (2019)
Normal voice is characterized by periodic oscillations of the vocal folds. On the other hand, disordered voice dynamics (e.g., subharmonic and aperiodic oscillations) are often associated with voice pathologies and dysphonia. Unfortunately, not all i
Externí odkaz:
https://doaj.org/article/1ab6816230cb44818c45242ab5824f3a
Autor:
Patrick Schlegel, Marion Semmler, Melda Kunduk, Michael Döllinger, Christopher Bohr, Anne Schützenberger
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2666 (2018)
Laryngeal high-speed videoendoscopy (HSV) allows objective quantification of vocal fold vibratory characteristics. However, it is unknown how the analyzed sequence length affects some of the computed parameters. To examine if varying sequence lengths
Externí odkaz:
https://doaj.org/article/6051cfcbcdc24ba0ab62e8d8b1711a84
Autor:
Marion Semmler, Stefan Kniesburges, Jonas Parchent, Bernhard Jakubaß, Maik Zimmermann, Christopher Bohr, Anne Schützenberger, Michael Döllinger
Publikováno v:
Applied Sciences, Vol 7, Iss 6, p 600 (2017)
Recently, we reported on the in vivo application of a miniaturized measuring device for 3D visualization of the superior vocal fold vibrations from high-speed recordings in combination with a laser projection unit (LPU). As a long-term vision for thi
Externí odkaz:
https://doaj.org/article/593a11e51fee43a09f8deb3677687f69
Autor:
Andreas Maier, Tino Haderlein, Florian Stelzle, Elmar Nöth, Emeka Nkenke, Frank Rosanowski, Anne Schützenberger, Maria Schuster
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
In patients suffering from head and neck cancer, speech intelligibility is often restricted. For assessment and outcome measurements, automatic speech recognition systems have previously been shown to be appropriate for objective and quick evaluation
Externí odkaz:
https://doaj.org/article/a0d99ceeb83c41a79dadd29c1d050902
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 11, Pp 137-144 (2023)
High-speed videoendoscopy is a major tool for quantitative laryngology. Glottis segmentation and glottal midline detection are crucial for computing vocal fold-specific, quantitative parameters. However, fully automated solutions show limited clinica
Externí odkaz:
https://doaj.org/article/4f6fdc7fbc5d4889a3eb15f6232f5d1f
Autor:
Patrick Schlegel, Andreas M. Kist, Marion Semmler, Michael Dollinger, Melda Kunduk, Stephan Durr, Anne Schutzenberger
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)
Background: Various voice assessment tools, such as questionnaires and aerodynamic voice characteristics, can be used to assess vocal function of individuals. However, not much is known about the best combinations of these parameters in identificatio
Externí odkaz:
https://doaj.org/article/dce9de3c968d4c9fb36b80afff12a495