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Classification Methods Accuracy for Speech Emotion Recognition System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090869" target="_blank" >RIV/61989100:27240/14:86090869 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-07401-6_44" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07401-6_44</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-07401-6_44" target="_blank" >10.1007/978-3-319-07401-6_44</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification Methods Accuracy for Speech Emotion Recognition System

  • Original language description

    Emotional state classification of human speech and recognition accuracy of the classifiers is disclosed in this paper. Recent developments in speech recognition places more emphasis on the extraction of information about the speech source. This means obtain information about who and how it was said. This article describes research which seeks to recognize the information from speaking, emotional state in particular. Emotional state is recognized by using different classifiers and features of speech by nowadays known systems. Berlin database of emotional recordings was used to train and test the system. Mel-frequency spectral coefficients and dynamic coefficients were extracted from the audio signal of the database. For classification were used Gaussian Mixture Model, k-Nearest Neighbours and Artificial Neural Networks methods. The main effort of this research is to examine the accuracy and usability of classifying methods for detection of human stress status from his speech.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Nostradamus 2014: prediction, modeling and analysis of complex systems

  • ISBN

    978-3-319-07400-9

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    439-447

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Ostrava

  • Event date

    Jun 23, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article