JSAI2019

Presentation information

General Session

General Session » [GS] J-12 Human interface, education aid

[1O4-J-12] Human interface, education aid: education and communication

Tue. Jun 4, 2019 5:20 PM - 7:00 PM Room O (Front-left room of 1F Exhibition hall)

Chair:Kazuhisa Seta Reviewer:Megumi Kurayama

6:20 PM - 6:40 PM

[1O4-J-12-04] Dialogue Mood Estimation from Dialogue Voice Considering Personality Trait of Speaker

〇Tatsuya Hasegawa1, Shohei Kato1,2 (1. Dept. of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, 2. Frontier Research Institute for Information Science, Nagoya Institute of Technology)

Keywords:Human Computer Interaction

For natural conversation with people, dialogue system has to return an appropriate reaction depending on dialogue mood.In this study, we aim to develop a method of estimating dialogue mood for that.We conducted the experiment to collect dialogue speech data, dialogue mood evaluation, and personality traits of subjects.Dialogue speech data and dialogue mood evaluation was used for calculating intervals of utterance state. Our method estimated dialogue mood by these feature values.In this paper, we verify effectiveness of perfonality traits added this time and the method of dialogue mood estimation.As a result, personality traits are effective on dialogue mood estimation in a part of dialogue mood labels, and the result suggests relevance of personality features with dialogue mood.