citation_publication_date: 2018/05/01 citation_title: Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning citation_publisher: North-Holland citation_type: JOUR citation_journal_title: Speech Communication title: Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning - ScienceDirect og:description: Speech production mechanisms can be characterized at a peripheral level by both their acoustic and articulatory traces along time. Researchers have th? citation_online_date: 2018/03/01 SDTech: Proudly brought to you by the SD Technology team in London, Dayton, and Amsterdam citation_issn: 0167-6393 dc:title: Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning - ScienceDirect Content-Encoding: UTF-8 citation_pdf_url: https://www.sciencedirect.com/science/article/pii/S0167639317301784/pdfft?md5=c9f1c10d78d9be02222ecdd588bd96b3&pid=1-s2.0-S0167639317301784-main.pdf robots: INDEX,FOLLOW,NOARCHIVE,NOODP,NOYDIR citation_lastpage: 46 Content-Type: text/html; charset=UTF-8 X-Parsed-By: org.apache.tika.parser.DefaultParser citation_article_type: Full-length article og:title: Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning citation_pii: S0167639317301784 citation_firstpage: 27 viewport: initial-scale=1 citation_doi: 10.1016/j.specom.2018.02.004 dc.identifier: 10.1016/j.specom.2018.02.004 citation_volume: 99 Content-Language: en