| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-02 |
| タイトル |
|
|
タイトル |
A Method Using Acoustic Features to Detect Inadequate Utterances in Medical Communication |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Mental State |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Acoustic Features |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Support Vector Machine |
| 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 |
KURISU, Michihisa
MERA, Kazuya
WADA, Ryunosuke
KUROSAWA, Yoshiaki
TAKEZAWA, Toshiyuki
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
We previously proposed a method that uses grammatical features to detect inadequate utterances of doctors. However, nonverbal information such as that conveyed by gestures, facial expression, and tone of voice are also important. In this paper, we propose a method that uses eight acoustic features to detect three types of mental states (sincerity, confidence, and doubtfulness/acceptance). A Support Vector Machine (SVM) is used to learn these features. Experiments showed that the system’s accuracy and recall rates respectively ranged from 0.79-0.91 and 0.80-0.94. |
| 書誌情報 |
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC2012)
p. 116-119,
発行日 2012
|
| 出版者 |
|
|
出版者 |
IEEE |
| 権利 |
|
|
権利情報 |
©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| 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 |
IEEESMC2012-final-116.pdf (104.4 kB)
