{"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/ultrasuite-a-repository-of-ultrasound-and","title":"UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions","arxiv_id":"1907.00835","date":"2019-07-01","proceeding":null,"authors":["Aciel Eshky","Manuel Sam Ribeiro","Joanne Cleland","Korin Richmond","Zoe Roxburgh","James Scobbie","Alan Wrench"],"abstract":"We introduce UltraSuite, a curated repository of ultrasound and acoustic data, collected from recordings of child speech therapy sessions. This release includes three data collections, one from typically developing children and two from children with speech sound disorders. In addition, it includes a set of annotations, some manual and some automatically produced, and software tools to process, transform and visualise the data.","url_abs":"https://arxiv.org/abs/1907.00835v1","url_pdf":"https://arxiv.org/pdf/1907.00835v1.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":"ultrasuite-a-repository-of-ultrasound-and","repo_url":"https://github.com/UltraSuite/ultrasuite-tools","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"1d-cnn","method_name":"1D CNN"}],"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}