Detail publikace
Gender Distinction Using Short Segments of Speech Signal
SIGMUND, M.
Originální název
Gender Distinction Using Short Segments of Speech Signal
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
This paper presents and discusses an approach to automatic gender distinction in a short segment of normally spoken continuous speech. In order to see which phonemes are effective for gender recognition, we analyzed individual vowels. Two different simple identifiers based on selected mel-frequency cepstral coefficients were evaluated. For text-independent analysis, the speech duration of 500 ms was sufficient to identify male/female speakers with the accuracy of more than 93%. Automatic estimation of speaker's gender by her/his voice is an important factor to realize high-quality dialogue systems.
Klíčová slova
Speech processing, gender recognition, short-time analysis
Autoři
SIGMUND, M.
Rok RIV
2008
Vydáno
31. 10. 2008
Nakladatel
Computer Science
Místo
Soul
ISSN
1738-7906
Periodikum
International Journal of Computer Science and Network Security
Ročník
8
Číslo
10
Stát
Korejská republika
Strany od
159
Strany do
162
Strany počet
4
BibTex
@article{BUT48854,
author="Milan {Sigmund}",
title="Gender Distinction Using Short Segments of Speech Signal",
journal="International Journal of Computer Science and Network Security",
year="2008",
volume="8",
number="10",
pages="159--162",
issn="1738-7906"
}