Detail publikace

Advanced Estimation of Speech Signal Periodicity

MALUCHA, J.

Originální název

Advanced Estimation of Speech Signal Periodicity

Anglický název

Advanced Estimation of Speech Signal Periodicity

Jazyk

en

Originální abstrakt

This study examined the use of methods for advanced estimation of speech signal periodicity. The speech parameters of jitter, schimmer and short time period similarity were briefly explained as well as their estimation with appropriate methods, all of them integrated into a compact MATLAB program. The practical use of the program was demonstrated on the analysis of a stressed and neutral speech signal and achieved results were presented at the end of the study.

Anglický abstrakt

This study examined the use of methods for advanced estimation of speech signal periodicity. The speech parameters of jitter, schimmer and short time period similarity were briefly explained as well as their estimation with appropriate methods, all of them integrated into a compact MATLAB program. The practical use of the program was demonstrated on the analysis of a stressed and neutral speech signal and achieved results were presented at the end of the study.

Dokumenty

BibTex


@inproceedings{BUT168314,
  author="Jan {Malucha}",
  title="Advanced Estimation of Speech Signal Periodicity",
  annote="This study examined the use of methods for advanced estimation of speech signal periodicity. The speech parameters of jitter, schimmer and short time period similarity were briefly explained as well as their estimation with appropriate methods, all of them integrated into a compact MATLAB program. The practical use of the program was demonstrated on the analysis of a stressed and neutral speech signal and achieved results were presented at the end of the study.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  booktitle="Proceedings II of the 26th Conference STUDENT EEICT",
  chapter="168314",
  edition="1",
  howpublished="online",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  year="2020",
  month="april",
  pages="40--43",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  type="conference paper"
}