Searching for "Voice Puppetry." – sorted by Relevance.
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Voice puppetry
- Voice Puppetry Matthew Brand MERL — a Mitsubishi Electric Research Laboratory 201 Broadway
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Through the Looking Glass: The Synthesis of Computer Graphics and Computer Vision
- research from a second paper, “Voice Puppetry,” 3 we can begin to envision myriad applications wherein
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Visual coding and tracking of speech related facial motion
- the audio track to extract phonemic information and its relationship to training video data. Voice Puppetry
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Video input driven animation (VIDA
- in “Voice Puppetry” [4], introduced a method for predicting a control signal from another related signal
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Video Realistic Talking Heads Using Hierarchical Non-Linear
- . In Voice Puppetry [19] no phonetic alignment is necessary. A Hidden Markov Model (HMM) is trained using
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Image Analogies
- dealing e.g. with Video Textures (Schödl et al. , 2000), Video Rewrite (Bregler et al. , 1997), Voice
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Audio to visual signal mappings with hmm
- estimated for each state, which is weighted by the corresponding state probability. Voice Puppetry [3] first
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Image analogies
- to problems in computer graphics have been published, including Video Rewrite [7], Voice Puppetry [5], Video
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Abstract Multi-Weight Enveloping: Least-Squares Approximation Techniques for Skin Animation
- puppetry [1999]. The voice puppet uses a Hidden Markov Model to learn the mapping 3-a: SWE frame 1 3-b: SWE
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Unsupervised Learning for Speech Motion Editing
- . Voice Puppetry 4 develops a mapping from voice to face by learning a model of a face’s observed dynamics
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