Publication result detail

Automatic Gender Distinction by Voice

Sigmund M., Dostál T.

Original Title

Automatic Gender Distinction by Voice

English Title

Automatic Gender Distinction by Voice

Type

Abstract

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 all Czech vowels. Two different simple identifiers based on selected mel-frequency cepstral coefficients were evaluated. Using vowel phonemes, we achieved in short-time analysis (20 msec) a gender identification accuracy of more than 90%.

English 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 all Czech vowels. Two different simple identifiers based on selected mel-frequency cepstral coefficients were evaluated. Using vowel phonemes, we achieved in short-time analysis (20 msec) a gender identification accuracy of more than 90%.

Keywords

speech signal processing, gender distinction

Key words in English

speech signal processing, gender distinction

Authors

Sigmund M., Dostál T.

Released

04.02.2005

Publisher

M.H.Hamza

Location

Calgary

Book

Abstracts of IASTED International Conference on Artificial Intelligence and Applications – AIA 2005

Pages from

1

Pages count

1

URL

http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=284

BibTex

@misc{BUT60319,
  author="Milan {Sigmund} and Tomáš {Dostál}",
  title="Automatic Gender Distinction by Voice",
  booktitle="Abstracts of IASTED International Conference on Artificial Intelligence and Applications – AIA 2005",
  year="2005",
  edition="1",
  pages="1",
  publisher="M.H.Hamza",
  address="Calgary",
  url="http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=284",
  note="Abstract"
}