Publication detail

Gender Distinction Using Short Segments of Speech Signal

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

SIGMUND, M.

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"
}