Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning.
Mathieu LabruniePierre BadinDirk VoitArun A. JosephJens FrahmLaurent LamalleCoriandre VilainLouis-Jean BoëPublished in: Speech Commun. (2018)
Keyphrases
- automatic segmentation
- manual segmentation
- supervised learning
- brain tissue
- vocal tract
- segmentation algorithm
- automatically segmenting
- semi automatic segmentation
- intra subject
- ct data
- accurate segmentation
- nerve fibers
- brain scans
- mr images
- magnetic resonance images
- computed tomography images
- training set
- magnetic resonance imaging
- fully automated
- speech synthesis
- medical images
- fully automatic segmentation
- speech signal
- carotid artery
- speech recognition
- ground truth
- segmented images
- machine learning