Speech based boredom verification approach for modern education system

Meng Chi Tu, Wei Kai Liao, Yu Hau Chin, Chang Hong Lin, Wei Jun Liao, Szu Hsien Lin, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Owing to the emotion deficiency problem in many of the conventional education systems, emotion sensing has become a new recent research trend as it is possible to provide useful strategies to enhance the learning effectiveness of a student. Among the various modalities for emotion sensing, this paper a speech-based emotion verification system. In particular, boredom verification is addressed herein. We present an emotion feature set comprising mel-frequency cepstral coefficients (MFCCs), Legendre-based trend coefficients (LBTCs) of MFCCs and 4th subband power, PCA transformed LBTCs, spectral flatness, and RSS. The proposed feature set is fed into a 2-class support vector machine (SVM) for boredom emotion verification. The proposed system has been demonstrated an emotional speech database with a 67.79% verification rate.

原文???core.languages.en_GB???
主出版物標題Proceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
頁面87-90
頁數4
DOIs
出版狀態已出版 - 2012
事件2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012 - Hokkaido, Japan
持續時間: 3 8月 20125 8月 2012

出版系列

名字Proceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
1

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???event.eventtypes.event.conference???2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
國家/地區Japan
城市Hokkaido
期間3/08/125/08/12

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