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
Plný text v Digitální knihovně
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"
}