This paper examines how service providers may resolve the trade-off between their personalization efforts and users' individual privacy concerns. We analyze how negotiation te...
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
This paper classifies distinctive phenomena occurring in Japanese spontaneous speech, and proposes a grammar and processing techniques for handling them. Parsers using a grammar f...
Design and analysis of cooperative communication schemes based upon modeling and simulation exist in large quantities in the research literature. Despite this fact, there have bee...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...