| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-07 |
| タイトル |
|
|
タイトル |
Natural Language Dialog System Considering Speaker’s Emotion Calculated from Acoustic Features |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Interactive Voice Response system (IVR) |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Acoustic features |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Emotion |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Support Vector Machine (SVM) |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Artificial Intelligence Markup Language (AIML) |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
TAKAHASHI, Takumi
MERA, Kazuya
TANG, Ba Nhat
KUROSAWA, Yoshiaki
TAKEZAWA, Toshiyuki
高橋, 拓誠
目良, 和也
黒澤, 義明
竹澤, 寿幸
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
With the development of Interactive Voice Response (IVR) systems, people can not only operate computer systems through task-oriented conversation but also enjoy non-task-oriented conversation with the computer. When an IVR system generates a esponse, it usually refers to just verbal information of the user’sutterance. However, when a person gloomily says “I’m fine,” people will respond not by saying “That’s wonderful” but “Really?” or “Are you OK?” because we can consider both verbal and non-verbal information such as tone of voice, facial expressions, gestures, and so on. In this paper, we propose an intelligent IVR system that considers not only verbal but also non-verbal information. To estimate a speaker’s emotion (positive, negative, or neutral), 384 acoustic features extracted from the speaker’s utterance are utilized to machine learning (SVM). Artificial Intelligence Markup Language (AIML)-based response generating rules are expanded to be able to consider the speaker’s emotion. As a result of the experiment, subjects felt that the proposed dialog system was more likable, enjoyable, and did not give machine-like reactions. |
| 内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
This paper was previously accepted at the 7th International Workshop on Spoken Dialogue System (IWSDS2016), Saariselkä, Finland, January 13-16, 2016.
This research is supported by JSPS KAKENHI Grant Number 26330313 and the Center of Innovation Program from Japan Science and Technology Agency, JST., 査読有 |
| 書誌情報 |
Lecture Notes in Electrical Engineering
巻 427,
p. 145-157,
発行日 2016-12-25
|
| 出版者 |
|
|
出版者 |
Springer |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1876-1100 |
| ISBN |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-981-10-2584-6|978-981-10-2585-3 |
| DOI |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
info:doi/10.1007/978-981-10-2585-3_11 |
| 権利 |
|
|
権利情報 |
Copyright 2017 Springer. This is the author’s version of a work that was accepted for publication in the following source: Takumi Takahashi, Kazuya Mera, Tang Ba Nhat, Yoshiaki Kurosawa, Toshiyuki Takezawa (2017) Natural Language Dialog System Considering Speaker’s Emotion Calculated from Acoustic Features. In Kristiina Jokinen, Graham Wilcock (Eds.) Dialogues with Social Robots : Enablements, Analyses, and Evaluation, Lecture Notes in Electrical Engineering, volume 427, 145-157. The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-10-2585-3_11. |
| 関連サイト |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
http://dx.doi.org/10.1007/978-981-10-2585-3_11 |
|
|
関連名称 |
http://dx.doi.org/10.1007/978-981-10-2585-3_11 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
IWSDS2016mera.pdf (159.4 kB)
