Detail publikačního výsledku

Gender Distinction Using Short Segments of Speech Signal

SIGMUND, M.

Originální název

Gender Distinction Using Short Segments of Speech Signal

Anglický název

Gender Distinction Using Short Segments of Speech Signal

Druh

Článek recenzovaný mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

Speech processing, gender recognition, short-time analysis

Autoři

SIGMUND, M.

Rok RIV

2010

Vydáno

31.10.2008

Nakladatel

Computer Science

Místo

Soul

ISSN

1738-7906

Periodikum

International Journal of Computer Science and Network Security

Svazek

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"
}