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Audition is a rich source of spatial, identity, linguistic and paralinguistic information. Processing all this information requires acquisition, processing and interpretation of sound sources, which are instantaneous, invisible and noisy signals. This can lead to different responses by the system in relation to the information perceived. This paper presents our first implementation of an integration...
This paper presents an audio visual multi-stream DBN model (Asy_DBN) for emotion recognition with constraint asynchrony, in which audio state and visual state transit individually in their corresponding stream but the transition is constrained by the allowed maximum audio visual asynchrony. Emotion recognition experiments of Asy_DBN with different asynchrony constraints are carried out on an audio...
This paper presents a realistic visual speech synthesis based on the hybrid concatenation method. Unlike previous methods based on phoneme level unit selection or hidden Markov model (HMM), etc., the hybrid concatenation method uses a frame level-based unit selection method combined with a fused HMM, and is able to generate more expressive and stable facial animations. The fused HMM can be used to...
The following topics are discussed: computer vision and image analysis; face and human analysis; face recognition; character recognition and document analysis; clustering algorithms; signal, speech and image processing; signal coding and compression; document image enhancement; visualization and restoration; systems, robotics and applications; biometrics; biomedical imaging; fingerprints; range imaging...
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