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ATASSI, H. SMÉKAL, Z. ESPOSITO, A.
Original Title
Emotion Recognition from Spontaneous Slavic Speech
Type
conference paper
Language
English
Original Abstract
In this paper, we present a new approach for automatic recognition of emotional expressions from spontaneous Slavic speech. The speech corpus used in experiments is built from speech extracts obtained from real call center recordings involving four Slavic languages: Czech, Polish, Russian and Slovak. Five different emotional states, namely: Anger, happiness, sadness, surprise and neutral are represented in the speech corpus. The proposed approach is based on mapping of discrete emotions into two dimensional space defined by the valence and the activation of emotions. This is carried out by using support vector regression combined with forward feature selection.
Keywords
Emotion, Recognition, Slavic Speech, SVR
Authors
ATASSI, H.; SMÉKAL, Z.; ESPOSITO, A.
RIV year
2012
Released
2. 12. 2012
ISBN
978-1-4673-5185-0
Book
Proceedings of 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012)
Edition number
3
Pages from
389
Pages to
394
Pages count
6
BibTex
@inproceedings{BUT95587, author="Hicham {Atassi} and Zdeněk {Smékal} and Anna {Esposito}", title="Emotion Recognition from Spontaneous Slavic Speech", booktitle="Proceedings of 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012)", year="2012", number="3", pages="389--394", isbn="978-1-4673-5185-0" }