Detail publikačního výsledku

Automatic Gender Distinction by Voice

Sigmund M., Dostál T.

Originální název

Automatic Gender Distinction by Voice

Anglický název

Automatic Gender Distinction by Voice

Druh

Abstrakt

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 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%.

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 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%.

Klíčová slova

speech signal processing, gender distinction

Klíčová slova v angličtině

speech signal processing, gender distinction

Autoři

Sigmund M., Dostál T.

Vydáno

04.02.2005

Nakladatel

M.H.Hamza

Místo

Calgary

Kniha

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

Strany od

1

Strany počet

1

URL

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"
}