This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Past attempts to model emotions for speech synthesis have focused on extreme, “basic” emotion categories. The present paper suggests an alternative representation of emotional ...
Continuous constrained optimization is a powerful tool for synthesizing novel human motion segments that are short. Graph-based motion synthesis methods such as motion graphs and ...
Abstract. We apply the theory of asynchronous automata to the synthesis problem of closed distributed systems. We use safe asynchronous automata as implementation model, and charac...