Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Robots for kids
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Development of an Autonomous Quadruped Robot for Robot Entertainment
Autonomous Robots - Special issue on autonomous agents
Bayesian Artificial Intelligence
Bayesian Artificial Intelligence
A Bayesian approach for user modeling in dialogue systems
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A bayesian approach to emotion detection in dialogist’s voice for human robot interaction
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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This paper propose a Bayesian-based method of emotion detection from talking voice. Development of a entertainment robot and joyful communication between human and robot have given us the motivation for a computational method for robot to detect its dialogist's emotion from his talking voice. The method is based on the Bayesian networks which represent the dependence and its strength between dialogist's utterance and his emotion, by using a Bayesian modeling for prosodic feature quantities extracted from emotionally expressive voice data. In this paper, we propose a biphase inference method using the Bayesian networks. This inference method has two steps: to reduce the choice of emotion at the first step and to infer a certain emotion reliably from little choice at the second step. The paper also reports some empirical reasoning performance of this method.