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"
}