Model-Based Synthesis of Visual Speech Movements from 3D Video

<p/> <p>We describe a method for the synthesis of visual speech movements using a hybrid unit selection/model-based approach. Speech lip movements are captured using a 3D stereo face capture system and split up into phonetic units. A dynamic parameterisation of this data is constructed w...

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Bibliographic Details
Main Authors: Edge JamesD, Hilton Adrian, Jackson Philip
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Online Access:http://asmp.eurasipjournals.com/content/2009/597267
Description
Summary:<p/> <p>We describe a method for the synthesis of visual speech movements using a hybrid unit selection/model-based approach. Speech lip movements are captured using a 3D stereo face capture system and split up into phonetic units. A dynamic parameterisation of this data is constructed which maintains the relationship between lip shapes and velocities; within this parameterisation a model of how lips move is built and is used in the animation of visual speech movements from speech audio input. The mapping from audio parameters to lip movements is disambiguated by selecting only the most similar stored phonetic units to the target utterance during synthesis. By combining properties of model-based synthesis (e.g., HMMs, neural nets) with unit selection we improve the quality of our speech synthesis.</p>
ISSN:1687-4714
1687-4722