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Analysis of High-level Features for Vocal Emotion Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU95202" target="_blank" >RIV/00216305:26220/11:PU95202 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of High-level Features for Vocal Emotion Recognition

  • Original language description

    The paper deals with the vocal emotion recognition which is a very important task for several applications in the field of human-machine interaction. There is a plenty of algorithms proposed up to date for this purpose that exploit different types of features and classifiers. Our previous work showed that high-level features perform very well in terms of emotion classification from speech. However, little attention has been paid so far to the statistical analysis of these features. For this reason the presented paper mainly focuses on the emotion recognition by using only high-level features. Two different emotional speech corpora were exploited in our experiments, namely the Berlin Database of Emotional Speech and the COST2102 Italian Database of Emotional Speech. Results showed that the best high-level features in terms of high discriminative power strongly differ among the databases considered on the first hand and among the emotions within each database on the second hand.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI1%2F481" target="_blank" >FR-TI1/481: Advanced speech analyses technology for call centers and security services.</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    34th International Conference on Telecommunications and Signal Processing

  • ISBN

    978-1-4577-1409-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    361-366

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Budapest

  • Event date

    Aug 18, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article