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Emotion Recognition from Spontaneous Slavic Speech

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU100875" target="_blank" >RIV/00216305:26220/12:PU100875 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emotion Recognition from Spontaneous Slavic Speech

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012)

  • ISBN

    978-1-4673-5185-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    389-394

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Kosice

  • Event date

    Dec 2, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article