EVALUATION OF SPECTRAL AND PROSODIC FEATURES OF SPEECH AFFECTED BY ORTHODONTIC APPLIANCES USING THE GMM CLASSIFIER

Jiří Přibil; Anna Přibilová; Daniela Ďuračkoá

doi:10.2478/jee-2014-0004

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EVALUATION OF SPECTRAL AND PROSODIC FEATURES OF SPEECH AFFECTED BY ORTHODONTIC APPLIANCES USING THE GMM CLASSIFIER

Journal of Electrical Engineering

Volume 65 (2014): Issue 1 (January 2014)

By: Jiří Přibil, Anna Přibilová and Daniela Ďuračkoá

Open Access

|Feb 2014

Abstract

The paper describes our experiment with using the Gaussian mixture models (GMM) for classification of speech uttered by a person wearing orthodontic appliances. For the GMM classification, the input feature vectors comprise the basic and the complementary spectral properties as well as the supra-segmental parameters. Dependence of classification correctness on the number of the parameters in the input feature vector and on the computation complexity is also evaluated. In addition, an influence of the initial setting of the parameters for GMM training process was analyzed. Obtained recognition results are compared visually in the form of graphs as well as numerically in the form of tables and confusion matrices for tested sentences uttered using three configurations of orthodontic appliances.

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Articles in this issue

DOI: https://doi.org/10.2478/jee-2014-0004 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 30 - 36

Published on: Feb 14, 2014

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

spectral and prosodic features of speech,

effect of orthodontic appliances,

GMM classifier

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2014 Jiří Přibil, Anna Přibilová, Daniela Ďuračkoá, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Volume 65 (2014): Issue 1 (January 2014)