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Publication detail
SIGMUND, M.
Original Title
Gender Distinction Using Short Segments of Speech Signal
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
Speech processing, gender recognition, short-time analysis
Authors
RIV year
2008
Released
31. 10. 2008
Publisher
Computer Science
Location
Soul
ISBN
1738-7906
Periodical
International Journal of Computer Science and Network Security
Year of study
8
Number
10
State
Republic of Korea
Pages from
159
Pages to
162
Pages count
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" }