GMM-Based Speaker Gender and Age Classification After Voice Conversion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929604" target="_blank" >RIV/49777513:23520/16:43929604 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7528391/" target="_blank" >http://ieeexplore.ieee.org/document/7528391/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPLIM.2016.7528391" target="_blank" >10.1109/SPLIM.2016.7528391</a>

Result language
angličtina
Original language name
GMM-Based Speaker Gender and Age Classification After Voice Conversion
Original language description
This paper describes an experiment using the Gaussian mixture models (GMM) for classification of the speaker gender/age and for evaluation of the achieved success in the voice conversion process. The main motivation of the work was to test whether this type of the classifier can be utilized as an alternative approach instead of the conventional listening test in the area of speech evaluation. The proposed two-level GMM classifier was first verified for detection of four age categories (child, young, adult, senior) as well as discrimination of gender for all but children's voices in Czech and Slovak languages. Then the classifier was applied for gender/age determination of the basic adult male/female original speech together with its conversion. The obtained resulting classification accuracy confirms usability of the proposed evaluation method and effectiveness of the performed voice conversions.
Czech name
—
Czech description
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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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) PROCEEDINGS
ISBN
978-1-4673-8917-4
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
89-93
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Aalborg, Denmark
Event date
Jul 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390709400001

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