Presentation
Silent Speech and Emotion Recognition From Vocal Tract Shape Dynamics in Real-time MRI
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Event Type
Poster
Adaptability
Artificial Intelligence/Machine Learning
Deep Learning
Diversity Equity & Inclusion
Healthcare
Research & Education
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DescriptionThis work proposes a novel deep-learning framework that can automatically understand acoustic information present in the vocal tract shaping captured by real-time MRI (rtMRI) during speech production and translate it into text. It also analyzes the variations in the geometry of vocal tract articulators with respect to emotions and genders.
