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Feature Analysis for Speech Emotion Classification

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

The automated classification of speech emotions is a potential candidate for clinical applications or even for educational purposes in the training of students. A description of procedures to evaluate emotional states from voice recordings in different environments is presented, together with extraction and the selection of features such as Fundamental Frequency, energy, formants and Mel-Frequency Cepstrum Coefficients (MFCC). For comparison purposes three speech corpus, one made by actors using the German language, and two made by inducing emotions in English and Brazilian Portuguese. A number of 208 features were extracted, this number was reduced using selection and emotion classification was performed by the use of a Support Vector Machine algorithm. The objective of this work was to compare results from different databases based on the classification of emotions with supervised learning algorithms.

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Authors and Affiliations

  1. Department of Electrical Engineering, Santa Catarina State University, Joinville, Brazil

    R. Kingeski, L. A. P. Schueda & A. S. Paterno

Authors
  1. R. Kingeski
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  2. L. A. P. Schueda
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  3. A. S. Paterno
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Correspondence to R. Kingeski .

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Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Kingeski, R., Schueda, L.A.P., Paterno, A.S. (2022). Feature Analysis for Speech Emotion Classification. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_347

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_347

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

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