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Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech

BACKGROUND AND OBJECTIVE: Magnetic resonance (MR) imaging is increasingly used in studies of speech as it enables non-invasive visualisation of the vocal tract and articulators, thus providing information about their shape, size, motion and position. Extraction of this information for quantitative a...

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Detalles Bibliográficos
Autores principales:	Ruthven, Matthieu, Miquel, Marc E., King, Andrew P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Scientific Publishers 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732702/ https://www.ncbi.nlm.nih.gov/pubmed/33197740 http://dx.doi.org/10.1016/j.cmpb.2020.105814

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