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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43931722" target="_blank" >RIV/49777513:23520/17:43931722 - isvavai.cz</a>
Result on the web
<a href="http://iris.elf.stuba.sk/JEEEC/data/pdf/1_117-01.pdf" target="_blank" >http://iris.elf.stuba.sk/JEEEC/data/pdf/1_117-01.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/jee-2017-0001" target="_blank" >10.1515/jee-2017-0001</a>

Result language
angličtina
Original language name
GMM-based speaker age and gender classification in Czech and Slovak
Original language description
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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20205 - Automation and control systems

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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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