{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-multimodal-corpus-of-expert-gaze-and","title":"A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks","arxiv_id":"1712.04798","date":"2017-12-13","proceeding":"LREC 2018 5","authors":["Arif Khan","Ingmar Steiner","Yusuke Sugano","Andreas Bulling","Ross Macdonald"],"abstract":"Phonetic segmentation is the process of splitting speech into distinct\nphonetic units. Human experts routinely perform this task manually by analyzing\nauditory and visual cues using analysis software, which is an extremely\ntime-consuming process. Methods exist for automatic segmentation, but these are\nnot always accurate enough. In order to improve automatic segmentation, we need\nto model it as close to the manual segmentation as possible. This corpus is an\neffort to capture the human segmentation behavior by recording experts\nperforming a segmentation task. We believe that this data will enable us to\nhighlight the important aspects of manual segmentation, which can be used in\nautomatic segmentation to improve its accuracy.","url_abs":"http://arxiv.org/abs/1712.04798v3","url_pdf":"http://arxiv.org/pdf/1712.04798v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-multimodal-corpus-of-expert-gaze-and","repo_url":"https://github.com/m2ci-msp/eyetracking-data","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}