Real-time speech MRI datasets with corresponding articulator ground-truth segmentations
Matthieu Ruthven,
Agnieszka M. Peplinski,
David M. Adams
et al.
Abstract:The use of real-time magnetic resonance imaging (rt-MRI) of speech is increasing in clinical practice and speech science research. Analysis of such images often requires segmentation of articulators and the vocal tract, and the community is turning to deep-learning-based methods to perform this segmentation. While there are publicly available rt-MRI datasets of speech, these do not include ground-truth (GT) segmentations, a key requirement for the development of deep-learning-based segmentation methods. To beg… Show more
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