Detail publikace

Principal Component Analysis in Stress Detection Technique

Originální název

Principal Component Analysis in Stress Detection Technique

Anglický název

Principal Component Analysis in Stress Detection Technique

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}