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A new audio-visual speech synthesis approach is proposed based on Chinese visual triphone. Chinese visual triphone model is constructed using a new clustering method combining artificial immune system and FCM. In the analysis stage, with the training phonetic transcription, visual triphone segments are selected from video sequence, and corresponding lip feature vectors are extracted. In the synthesis...
Mapping opaque and confined environments such as caves and pipes is a challenging problem for mobile robots because sensor information is severely limited to the immediate proximity of the robot due to the extreme environmental conditions. The robot must also be flexible and agile in unstructured environments while still providing accurate pose estimation. This paper presents a solution to mapping...
This paper presents a learning algorithm called surprise-based learning (SBL) capable of providing a physical robot the ability to autonomously learn and plan in an unknown environment without any prior knowledge of its actions or their impact on the environment. This is achieved by creating a model of the environment using prediction rules. A prediction rule describes the observations of the environment...
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