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It reveals that the Bayesian network used for integration of speech and image interpretations has to combine spatial and type information. Instead of modeling ...
The Bayesian network is dynamically built up from verbal object description and is evaluated by an inference technique combining bucket elimination and ...
The Bayesian network is dynamically built up from verbal object description and is evaluated by an inference technique combining bucket elimination and ...
Integration of Vision and Speech Understanding Using Bayesian Networks ... Bayesian networks as an adequate formalism for speech and image integration tasks.
Therefore, a Bayesian network is generated dynamically from the spoken utterance and the visual scene representation. Keywords: integration of speech and vision ...
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Dynamic Bayesian networks (DBNs) are a powerful and flexible methodology for representing and computing with probabilistic models of stochastic processes.
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We present a hybrid system that integrates speech and image understanding. Given spoken references, it is able to identify objects of a 3D scene perceived ...
To find instances of a target object in the image, a Bayesian network approach is employed which exploits the probabilities in the aspect hierarchy of ...
The capability to coordinate and interrelate speech and vision is a virtual prerequisite for adaptive, cooperative, and flexible interaction among people.
The model combines four simple vision sensors: face detection, skin color, skin texture, and mouth motion. We present some promising experimental results. 1 ...