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Comparison of Text-Independent Original Speaker Recognition from Emotionally Converted Speech

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Recent Advances in Nonlinear Speech Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 48))

Abstract

The paper describes an application of the classifier based on the Gaussian mixture models (GMM) for reverse identification of the original speaker from the emotionally transformed speech in Czech and Slovak. We investigate whether the identification score given by the GMM classifier depends on the type and the structure of used speech features. Comparison of the results obtained with the sentences in German and English has shown that the structure and the balance of the speech database have influence on the identification accuracy but the used language is not practically important. The evaluation experiments confirmed that the developed text-independent GMM original speaker identifier is functional for the closed-set classification tasks.

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Acknowledgments

This work has been supported by the and VEGA 1/0090/16 Grant Agency of the Slovak Academy of Sciences (VEGA 2/0013/14) and the Ministry of Education of the Slovak Republic (KEGA 022STU-4/2014).

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Authors and Affiliations

  1. Institute of Measurement Science, SAS, Dúbravská cesta 9, SK-841 04, Bratislava, Slovakia

    Jiří Přibil

  2. Faculty of Electrical Engineering & Information Technology, Institute of Electronics and Photonics, Slovak University of Technology, Ilkovičova 3, SK-812 19, Bratislava, Slovakia

    Anna Přibilová

Authors
  1. Jiří Přibil
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  2. Anna Přibilová
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Correspondence to Jiří Přibil .

Editor information

Editors and Affiliations

  1. Department of Psychology, Seconda Università di Napoli and IIASS, Caserta, Italy

    Anna Esposito

  2. (Pompeu Fabra University), Escola Superior Politècnica Tecnocampus, Mataró, Spain

    Marcos Faundez-Zanuy

  3. sezione di Napoli Osservatorio, Istituto Nazionale di Geofisica e Vulcan, Napoli, Italy

    Antonietta M. Esposito

  4. Department of Psychology, Seconda Universita di Napoli and IIASS, Caserta, Italy

    Gennaro Cordasco

  5. Boulevard Dolez, University of Mons, TCTS Lab.31, Mons, Belgium

    Thomas Drugman

  6. Data and Signal Processing Research Grou, University of Vic, Vic, Spain

    Jordi Solé-Casals

  7. NeuroLab, Università degli Studi "Mediterranea" di, Reggio Calabria, Italy

    Francesco Carlo Morabito

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Přibil, J., Přibilová, A. (2016). Comparison of Text-Independent Original Speaker Recognition from Emotionally Converted Speech. In: Esposito, A., et al. Recent Advances in Nonlinear Speech Processing. Smart Innovation, Systems and Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-28109-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-28109-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28107-0

  • Online ISBN: 978-3-319-28109-4

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