<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The paper describes an experiment with using the Gaussian mixture models (GMM) for automatic classification of the speaker age and gender. It analyses and compares the influence of different number of mixtures and different types of speech features used for GMM gender/age classification. Dependence of the computational complexity on the number of used mixtures is also analysed. Finally, the GMM classification accuracy is compared with the output of the conventional listening tests. The results of these objective and subjective evaluations are in correspondence.</p></abstract>

The paper describes an experiment with using the Gaussian mixture models (GMM) for automatic classification of the speaker age and gender. It analyses and compares the influence of different number of mixtures and different types of speech features used for GMM gender/age classification. Dependence of the computational complexity on the number of used mixtures is also analysed. Finally, the GMM classification accuracy is compared with the output of the conventional listening tests. The results of these objective and subjective evaluations are in correspondence.

GMM-based speaker age and gender classification in Czech and Slovak

Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

New Technologies for the Information Society (NTIS), Faculty of Applied Sciences, University of West Bohemia, Plze,

Slovak University of Technology in Bratislava, Faculty of Electrical Engineering and Information Technology, Ilkovičova 3, 812 19 Bratislava,

Department of Cybernetics, New Technologies for the Information Society (NTIS), Faculty of Applied Sciences, University of West Bohemia, Plzeň,

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"GMM-based speaker age and gender classification in Czech and Slovak"}

The paper describes an experiment with using the Gaussian mixture models (GMM) for automatic classification of the speaker age and gender. It analyses and...

GMM-based speaker age and gender classification in Czech and Slovak

Published Online: Mar 14, 2017

Page range: 3 - 12

Received: Jun 23, 2016

DOI: https://doi.org/10.1515/jee-2017-0001

Keywords
GMM classifier, spectral and prosodic features of speech, speaker gender and age classification

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

GMM-based speaker age and gender classification in Czech and Slovak

Published Online: Mar 14, 2017

Page range: 3 - 12

Received: Jun 23, 2016

DOI: https://doi.org/10.1515/jee-2017-0001

KeywordsGMM classifier, spectral and prosodic features of speech, speaker gender and age classification

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
GMM classifier, spectral and prosodic features of speech, speaker gender and age classification