Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech.
Matthieu RuthvenMarc E. MiquelAndrew P. KingPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- vocal tract
- magnetic resonance images
- deep learning
- medical images
- brain scans
- speech signal
- speech synthesis
- brain tumors
- medical imaging
- tissue segmentation
- image acquisition
- mr images
- speech recognition
- machine learning
- unsupervised learning
- magnetic resonance imaging
- speech sounds
- white matter
- text to speech
- linear prediction
- mri data
- level set
- high resolution
- multiscale
- image segmentation
- automatic speech recognition
- weakly supervised
- shape prior
- hidden markov models
- mental models
- image analysis
- neural network
- three dimensional
- natural images
- segmentation method
- face recognition
- probabilistic model
- information extraction
- deformable models
- higher order