Detail publikace

Speaker Discrimination Using Long-Term Spectrum of Speech

SIGMUND, M.

Originální název

Speaker Discrimination Using Long-Term Spectrum of Speech

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this article, a specific long-term speech spectrum was investigated with respect to its use for speaker recognition. The long-term spectrum was calculated by means of second-order linear prediction using the average autocorrelation coefficients. Four subbands with the most discriminative capability were selected for speaker recognition. These subbands involve the frequencies of 0-1.2 kHz in total. The best recognition rates, i.e. 91.7% on complete speech and 100% on voiced speech, were achieved in optimal paired subbands.

Klíčová slova

Speech signal, long-term spectrum, speaker discrimination, efficient features

Autoři

SIGMUND, M.

Vydáno

25. 9. 2019

Nakladatel

Kaunas University of Technology

Místo

Kaunas

ISSN

1392-124X

Periodikum

Information Technology and Control

Ročník

48

Číslo

3

Stát

Litevská republika

Strany od

446

Strany do

453

Strany počet

8

URL

http://itc.ktu.lt/index.php/ITC/article/view/21248

Plný text v Digitální knihovně

http://hdl.handle.net/11012/201688

BibTex

@article{BUT159590,
  author="Milan {Sigmund}",
  title="Speaker Discrimination Using Long-Term Spectrum of Speech",
  journal="Information Technology and Control",
  year="2019",
  volume="48",
  number="3",
  pages="446--453",
  doi="10.5755/j01.itc.48.3.21248",
  issn="1392-124X",
  url="http://itc.ktu.lt/index.php/ITC/article/view/21248"
}