Published September 26, 2022
| Version 1.0
Dataset
Open
Re-Training Extension of the Benchmark for Automatic Glottis Segmentation (BAGLS-RT)
Creators
- 1. University Hospital Erlangen, Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology Head & Neck Surgery, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- 2. Department of Head and Neck Surgery, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, California, USA
- 3. Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Munich Univer-sity Hospital (LMU), Munich, Germany
- 4. NYU Voice Center, Department of Otolaryngology – Head and Neck Surgery, New York University, Grossman School of Medicine, New York, New York, USA
- 5. Department of Communication Sciences and Disorders, Louisiana State University, Baton Rouge, Louisiana, USA
- 6. Department of Speech, Language and Hearing sciences, University of Ghent, Ghent, Belgium
- 7. Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, USA
- 8. Department of Speech, Language, & Hearing Sciences, University of Arizona, Tucson, USA
Description
BAGLS-RT is an extension of the BAGLS dataset (DOI 10.5281/zenodo.3762320) intended for (re-)training glottis segmentation models.