Detail publikace

Method for Recognition the Actual Emotional State of Speaker

Originální název

Method for Recognition the Actual Emotional State of Speaker

Anglický název

Method for Recognition the Actual Emotional State of Speaker

Jazyk

en

Originální abstrakt

This paper is focused on the differences of important points in LPC spectrum depending on emotional state for Czech vowels. LPC spectrum contains antiformats- the local minima, for-mants- the local peaks and its points of inflection. The position of all important points depends on actual emotional state of speaker. Significant differences in type of distribution were obtained for each important point of LPC spectrum within the emotional states of speaker database for F1 F2 and F2-F3 band. Most similar shapes of histograms were achieved for alcohol intoxication and happiness. Ordinary values of relevant histogram parameters for each important point within the emotional states of speaker database are a matter of next statistical investigation.

Anglický abstrakt

This paper is focused on the differences of important points in LPC spectrum depending on emotional state for Czech vowels. LPC spectrum contains antiformats- the local minima, for-mants- the local peaks and its points of inflection. The position of all important points depends on actual emotional state of speaker. Significant differences in type of distribution were obtained for each important point of LPC spectrum within the emotional states of speaker database for F1 F2 and F2-F3 band. Most similar shapes of histograms were achieved for alcohol intoxication and happiness. Ordinary values of relevant histogram parameters for each important point within the emotional states of speaker database are a matter of next statistical investigation.

BibTex


@inproceedings{BUT99256,
  author="Miroslav {Staněk}",
  title="Method for Recognition the Actual Emotional State of Speaker",
  annote="This paper is focused on the differences of important points in LPC spectrum depending on emotional state for Czech vowels. LPC spectrum contains antiformats- the local minima, for-mants- the local peaks and its points of inflection. The position of all important points depends on actual emotional state of speaker. Significant differences in type of distribution were obtained for each important point of LPC spectrum within the emotional states of speaker database for F1 F2 and F2-F3 band. Most similar shapes of histograms were achieved for alcohol intoxication and happiness. Ordinary values of relevant histogram parameters for each important point within the emotional states of speaker database are a matter of next statistical investigation.",
  booktitle="Proceedings of the 19th Conference Student EEICT 2013 Volume3",
  chapter="99256",
  howpublished="print",
  year="2013",
  month="april",
  pages="55--59",
  type="conference paper"
}