Detail publikace
Speaker-Specific Long-Time Spectrum
Originální název
Speaker-Specific Long-Time Spectrum
Anglický název
Speaker-Specific Long-Time Spectrum
Jazyk
en
Originální abstrakt
In this paper, the average long-time LPC-based spectrum is evaluated as the parametric representation for speaker recognition. Various factors are discussed and experiments were performed as follows: evaluation of spectrum vs. duration of text-independent utterance, comparison of vocal tract spectra obtained from various languages, comparison between intra- and inter-speaker variability in long-time spectrum, and search for a small specially isolated-word vocabulary chosen for Czech language.
Anglický abstrakt
In this paper, the average long-time LPC-based spectrum is evaluated as the parametric representation for speaker recognition. Various factors are discussed and experiments were performed as follows: evaluation of spectrum vs. duration of text-independent utterance, comparison of vocal tract spectra obtained from various languages, comparison between intra- and inter-speaker variability in long-time spectrum, and search for a small specially isolated-word vocabulary chosen for Czech language.
BibTex
@inproceedings{BUT9308,
author="Milan {Sigmund} and Tomáš {Dostál}",
title="Speaker-Specific Long-Time Spectrum",
annote="In this paper, the average long-time LPC-based spectrum is evaluated as the parametric representation for speaker recognition. Various factors are discussed and experiments were performed as follows: evaluation of spectrum vs. duration of text-independent utterance, comparison of vocal tract spectra obtained from various languages, comparison between intra- and inter-speaker variability in long-time spectrum, and search for a small specially isolated-word vocabulary chosen for Czech language.",
address="IASTED",
booktitle="21st IASTED International Conference Applied Informatics",
chapter="9308",
institution="IASTED",
year="2003",
month="february",
pages="216",
publisher="IASTED",
type="conference paper"
}