DFKI-LT - A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks

Arif Khan, Ingmar Steiner, Yusuke Sugano, Andreas Bulling, Ross Macdonald
A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks
2 11th Language Resources and Evaluation Conference (LREC), Pages 4277-4281, Miyazaki, Japan, European Language Resources Association (ELRA), Paris, 5/2018
 
Phonetic segmentation is the process of splitting speech into distinct phonetic units. Human experts routinely perform this task manually by analyzing auditory and visual cues using analysis software, which is an extremely time-consuming process. Methods exist for automatic segmentation, but these are not always accurate enough. In order to improve automatic segmentation, we need to model it as close to the manual segmentation as possible. This corpus is an effort to capture the human segmentation behavior by recording experts performing a segmentation task. We believe that this data will enable us to highlight the important aspects of manual segmentation, which can be used in automatic segmentation to improve its accuracy.
 
Files: BibTeX, 676.html, 1712.04798, LREC2018b.pdf, LREC2018bPoster.pdf