講演抄録/キーワード |
講演名 |
2014-12-15 09:30
Recognition and Analysis of Emotion in Indonesian Conversational Speech ○Nurul Lubis・Sakriani Sakti・Graham Neubig・Tomoki Toda(NAIST)・Dessi Lestari・Ayu Purwarianti(ITB)・Satoshi Nakamura(NAIST) SP2014-106 |
抄録 |
(和) |
The importance of incorporating emotional aspect in human computer interaction continues to arise. Unfortunately, exploration of the subject in Indonesian is still very lacking. This paper presents the first study of emotion recognition in Indonesian on conversational speech. We construct our corpus, IDESC, by making use of television talk show recordings in various topics of discussion, yielding colorful emotional utterances. Using the corpus, we then build a support vector machine (SVM) that classifies Indonesian speech in terms of emotion based on its acoustic features. We perform feature selection and parameter optimization while building the classifier to optimize the recognition performance, resulting in absolute 11.9% increase of accuracy. Lastly, we perform analyses on our corpus and evaluation result to gain better insight of emotion occurence in Indonesian speech. |
(英) |
The importance of incorporating emotional aspect in human computer interaction continues to arise. Unfortunately, exploration of the subject in Indonesian is still very lacking. This paper presents the first study of emotion recognition in Indonesian on conversational speech. We construct our corpus, IDESC, by making use of television talk show recordings in various topics of discussion, yielding colorful emotional utterances. Using the corpus, we then build a support vector machine (SVM) that classifies Indonesian speech in terms of emotion based on its acoustic features. We perform feature selection and parameter optimization while building the classifier to optimize the recognition performance, resulting in absolute 11.9% increase of accuracy. Lastly, we perform analyses on our corpus and evaluation result to gain better insight of emotion occurence in Indonesian speech. |
キーワード |
(和) |
emotion / speech / Indonesian / SVM / / / / |
(英) |
emotion / speech / Indonesian / SVM / / / / |
文献情報 |
信学技報, vol. 114, no. 365, SP2014-106, pp. 1-6, 2014年12月. |
資料番号 |
SP2014-106 |
発行日 |
2014-12-08 (SP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SP2014-106 |