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Tobias Schraut

Showing results (1-10 of 6) with videos related to

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Journal of Voice : Official Journal of the Voice Foundation|February 11, 2023
Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal FoldsTomás Arias-Vergara, Michael Döllinger, Tobias Schraut, et al.
The Journal of the Acoustical Society of America|January 19, 2024
Machine learning based estimation of hoarseness severity using sustained vowelsa)Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Journal of Voice : Official Journal of the Voice Foundation|January 4, 2025
Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed VideoendoscopyTobias Schraut, Michael Döllinger, Melda Kunduk, et al.
Frontiers in Artificial Intelligence|June 20, 2025
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopyTobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Journal of Voice : Official Journal of the Voice Foundation|August 30, 2023
Extent and Effect of Covering Laryngeal Structures with Synthetic Laryngeal Mucus via Two Different Administration TechniquesMarion Semmler, Sarina Lasar, Franziska Kremer, et al.
Applied Sciences (Basel, Switzerland)|August 16, 2023
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed VideosMichael Döllinger, Tobias Schraut, Lea A Henrich, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Voice : Official Journal of the Voice Foundation|February 11, 2023
Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal FoldsTomás Arias-Vergara, Michael Döllinger, Tobias Schraut, et al.
The Journal of the Acoustical Society of America|January 19, 2024
Machine learning based estimation of hoarseness severity using sustained vowelsa)Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Journal of Voice : Official Journal of the Voice Foundation|January 4, 2025
Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed VideoendoscopyTobias Schraut, Michael Döllinger, Melda Kunduk, et al.
Frontiers in Artificial Intelligence|June 20, 2025
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopyTobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Journal of Voice : Official Journal of the Voice Foundation|August 30, 2023
Extent and Effect of Covering Laryngeal Structures with Synthetic Laryngeal Mucus via Two Different Administration TechniquesMarion Semmler, Sarina Lasar, Franziska Kremer, et al.
Applied Sciences (Basel, Switzerland)|August 16, 2023
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed VideosMichael Döllinger, Tobias Schraut, Lea A Henrich, et al.
Pageof 1