Unsupervised segmentation of the vocal tract from real-time MRI sequences
S Silva, A Teixeira - Computer Speech & Language, 2015 - Elsevier
Advances on real-time magnetic resonance imaging (RT-MRI) make it suitable to study the
dynamic aspects of the upper airway. One of the main challenges concerns how to deal with
the large amount of data resulting from these studies, particularly to extract relevant features
for analysis such as the vocal tract profiles. A method is proposed, based on a modified
active appearance model (AAM) approach, for unsupervised segmentation of the vocal tract
from midsagittal RT-MRI sequences. The described approach was designed considering the …
dynamic aspects of the upper airway. One of the main challenges concerns how to deal with
the large amount of data resulting from these studies, particularly to extract relevant features
for analysis such as the vocal tract profiles. A method is proposed, based on a modified
active appearance model (AAM) approach, for unsupervised segmentation of the vocal tract
from midsagittal RT-MRI sequences. The described approach was designed considering the …
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