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International Conference on Software Technology and Engineering (ICSTE 2012)

Jianhong Zhou
Jianhong Zhou
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Conversation conveys important social signals of human interaction that indicates interest, service-awareness, persuasiveness, etc. Our research aims at perceiving human interest and intention by identifying social signals of interaction in their conversation. In this paper, the author introduces a privacy-preserving and language-independent speech processing approach to measure vocal interaction characteristics for spontaneous conversation in-between two people. The approach has been tested with Japanese, English, and Chinese so far. The experimental results prove that it is possible to identify the difference of speaking styles and interaction pattern using the conversation characteristics measured.

1. Introduction
2. Speech Processing Steps and Methods
3. Conversation Characteristics Measuring and Interaction Pattern Analysis
4. Conclusions
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