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...

Descripción completa

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

Internet

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

Ejemplares similares