Presentation 2014-12-15
Recognition and Analysis of Emotion in Indonesian Conversational Speech
Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda, Dessi Lestari, Ayu Purwarianti, Satoshi Nakamura,
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Abstract(in English) 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.
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Paper # SP2014-106
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Committee SP
Conference Date 2014/12/8(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Recognition and Analysis of Emotion in Indonesian Conversational Speech
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1st Author's Name Nurul Lubis
1st Author's Affiliation Nara Institute of Science and Technology:Institut Teknologi Bandung()
2nd Author's Name Sakriani Sakti
2nd Author's Affiliation Nara Institute of Science and Technology
3rd Author's Name Graham Neubig
3rd Author's Affiliation Nara Institute of Science and Technology
4th Author's Name Tomoki Toda
4th Author's Affiliation Nara Institute of Science and Technology
5th Author's Name Dessi Lestari
5th Author's Affiliation Institut Teknologi Bandung
6th Author's Name Ayu Purwarianti
6th Author's Affiliation Institut Teknologi Bandung
7th Author's Name Satoshi Nakamura
7th Author's Affiliation Nara Institute of Science and Technology
Date 2014-12-15
Paper # SP2014-106
Volume (vol) vol.114
Number (no) 365
Page pp.pp.-
#Pages 6
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