Publication detail

Emotion Recognition from Spontaneous Slavic Speech

ATASSI, H. SMÉKAL, Z. ESPOSITO, A.

Original Title

Emotion Recognition from Spontaneous Slavic Speech

English Title

Emotion Recognition from Spontaneous Slavic Speech

Type

conference paper

Language

en

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.

English 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

RIV year

2012

Released

02.12.2012

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

Documents

BibTex


@inproceedings{BUT95587,
  author="Hicham {Atassi} and Zdeněk {Smékal} and Anna {Esposito}",
  title="Emotion Recognition from Spontaneous Slavic Speech",
  annote="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.",
  booktitle="Proceedings of 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012)",
  chapter="95587",
  howpublished="electronic, physical medium",
  year="2012",
  month="december",
  pages="389--394",
  type="conference paper"
}