2016
INTERSPEECH
INTERSPEECH 2016
Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI
Abstract
Real-time magnetic resonance imaging (rtMRI) provides information about the dynamic shaping of the vocal tract during speech production and valuable data for creating and testing models of speech production. In this paper, we use rtMRI videos to develop a dynamical system in the framework of Task Dynamics which controls vocal tract constrictions and induces deformation of the air-tissue boundary. This is the first task dynamical system explicitly derived from speech kinematic data. Simulation identifies differences in articulatory strategy across speakers (n = 18), specifically in the relative contribution of articulators to vocal tract constrictions.
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Conference Pioneer
β INTERSPEECH 2016
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Interdisciplinary Bridge
β Computer Vision and Data Science & Analytics and Machine Learning
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Keyword Pioneer
β speaker characterization
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Hot Topic Early Bird
β dynamical system
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Cross-Pollinator
β Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio