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Comparison of One and Two-Level Architecture of the GMM-Based Speaker Age Classifier

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929603" target="_blank" >RIV/49777513:23520/16:43929603 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7760883/" target="_blank" >http://ieeexplore.ieee.org/document/7760883/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760883" target="_blank" >10.1109/TSP.2016.7760883</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of One and Two-Level Architecture of the GMM-Based Speaker Age Classifier

  • Original language description

    The paper describes an experiment using the Gaussian mixture models (GMM) for automatic classification of the speaker age and gender. The developed two-level architecture is compared with the standard one-level GMM classifier in more detail analysing the influence of different number of mixtures and different types of speech features used for GMM gender/age classification and also regarding the computational complexity in dependence on the applied number of used mixtures. Finally, the GMM classification accuracy is compared with the evaluation using the conventional listening test method. The obtained summary results of 92.3 % mean age classification accuracy for the proposed two-level architecture are better than those for the one-level standard architecture (78.7 %) as well as for evaluation by the listening test method (74.6 %). However, the computation complexity in two levels is about twice higher than in one level, either for GMM model creation or for classification phases.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA16-04420S" target="_blank" >GA16-04420S: Combining phonetic and corpus-based approaches to remedy disruptive effects in synthetic speech</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)

  • ISBN

    978-1-5090-1288-6

  • ISSN

    1805-5435

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    299-302

  • Publisher name

    IEEE

  • Place of publication

    NEW YORK, NY

  • Event location

    Vienna, Austria

  • Event date

    Jun 27, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390164000064