We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
This paper presents a stochastic model of intonation contours for use in text-to-speech s. The model has two modules, a linguistic module that generates abstract prosodic rom text...
Electric power generation requires a great deal of production equipment, such as steam turbines, boilers, etc., how to insure the well-run condition of such equipment is the key f...
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
A total corpus-based process of generating prosodic features from text is developed. The process first predicts pauses and phone durations, and then generates F0 contours. Since F...