A multimodal training pipeline with phonological bounding-box priors and cross-modal contrastive alignment transfers speech supervision to single-modality rtMRI vocal tract segmentation and outperforms prior methods on two datasets.
APSIPA Transactions on Signal and Information Processing5, e6 (2016)
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Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI
A multimodal training pipeline with phonological bounding-box priors and cross-modal contrastive alignment transfers speech supervision to single-modality rtMRI vocal tract segmentation and outperforms prior methods on two datasets.