@inproceedings{b69b38e110d74f4096a589fee7bb0a5f,
title = "Improvement of emotion recognition from voice by separating of obstruents",
abstract = "Previous researchers in the area of emotion recognition have classified emotion from the whole voice. They did not consider that emotion features vary according to the phoneme. Hence, in the present work, we study the characteristics of phonemes in emotion features. Based on the results, we define the obstruents effect, which is a negative effect resulting from increased feature values. We then recognize emotion from the voice by separating obstruents rather than from the whole voice. By separating obstruents, we could improve the emotion recognition rate by about 4.3\%.",
author = "Eun, \{Ho Kim\} and Kyung, \{Hak Hyun\} and Yoon, \{Keun Kwak\}",
year = "2006",
doi = "10.1109/ROMAN.2006.314449",
language = "English",
isbn = "1424405653",
series = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "564--568",
booktitle = "Proceedings - RO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication",
note = "15th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2006 ; Conference date: 06-09-2006 Through 08-09-2006",
}