2010
DOI: 10.1007/978-3-642-13318-3_64
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Kernel-Based Lip Shape Clustering with Phoneme Recognition for Real-Time Voice Driven Talking Face

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Cited by 1 publication
(2 citation statements)
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“…Conveying speech alongside gesture or expression is difficult, the question however is how can a realistic virtual human that incorporates emotions as well as gaze and speech behaviors be achieved. Describe a real time voice driven method using which a speaker's lip shape is synchronized with the corresponding speech signal for a low bandwidth mobile devices using sum of absolute difference (SAD) as vowel lip shape likelihood to cluster into categories then adjust the source and destination pictures of lip shape in the transparent level using alpha blending (Shih et al, 2010). The physics-based method uses the laws of physics and muscle forces to drive the motion of the face.…”
Section: Visual Motion Speech Synthesismentioning
confidence: 99%
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“…Conveying speech alongside gesture or expression is difficult, the question however is how can a realistic virtual human that incorporates emotions as well as gaze and speech behaviors be achieved. Describe a real time voice driven method using which a speaker's lip shape is synchronized with the corresponding speech signal for a low bandwidth mobile devices using sum of absolute difference (SAD) as vowel lip shape likelihood to cluster into categories then adjust the source and destination pictures of lip shape in the transparent level using alpha blending (Shih et al, 2010). The physics-based method uses the laws of physics and muscle forces to drive the motion of the face.…”
Section: Visual Motion Speech Synthesismentioning
confidence: 99%
“…With the development of communication systems, it is now possible for people to interact directly with real time video devices. Such a communication system allows synchronization of the lip shape character with the corresponding speech in a real time voice driven mobile device designed by Shih et al (2010).…”
Section: Expressive Speech Synthesismentioning
confidence: 99%