Publication detail

Principal Component Analysis in Stress Detection Technique

BOŠTÍK, M.

Original Title

Principal Component Analysis in Stress Detection Technique

English Title

Principal Component Analysis in Stress Detection Technique

Type

conference proceedings

Language

en

Original Abstract

In this study, the analysis of glottal pulse shape was performed. The Iterative Adaptive Inverse Filtering technique was used for obtaining glottal pulses. Four Liljencrant-Fant’s parameters of glottal pulse were computed. Both the Principal Component Analysis and Karhunen-Loeve Transformation are applied on these parameters because of parameters decorrelation and both methods were compared.

English abstract

In this study, the analysis of glottal pulse shape was performed. The Iterative Adaptive Inverse Filtering technique was used for obtaining glottal pulses. Four Liljencrant-Fant’s parameters of glottal pulse were computed. Both the Principal Component Analysis and Karhunen-Loeve Transformation are applied on these parameters because of parameters decorrelation and both methods were compared.

Keywords

stress detection, speech recognition

Released

01.01.2004

Location

Brno

ISBN

80-214-2635-7

Book

Proceedings of EEICT 2004

Pages from

17

Pages to

21

Pages count

5

Documents

BibTex


@proceedings{BUT64125,
  author="Milan {Boštík}",
  title="Principal Component Analysis in Stress Detection Technique",
  annote="In this study, the analysis of glottal pulse shape was performed. The Iterative Adaptive Inverse Filtering technique was used for obtaining glottal pulses. Four Liljencrant-Fant’s parameters of glottal pulse were computed. Both the Principal Component Analysis and Karhunen-Loeve Transformation are applied on these parameters because of parameters decorrelation and both methods were compared.",
  booktitle="Proceedings of EEICT 2004",
  chapter="64125",
  year="2004",
  month="january",
  pages="17",
  type="conference proceedings"
}