Publication detail

Statistical Based Voice Activity Detector

SYSEL, P.

Original Title

Statistical Based Voice Activity Detector

Type

conference paper

Language

English

Original Abstract

This paper deals with the method of voice activity detection. The paper aims especially to two detector types; these are the detector based on short-time signal energy and statistical model-based voice activity detector. Decision-making rules of the statistical model-based detector are derived from the LRT %(Likelihood Ratio Test) by estimating unknown parameters using the ML %(Maximum Likelihood) criterion. In addition there is an effective hang-over scheme based on HMM %(Hidden Markov Model) principles in the detector. The results were evaluated and compared for various types of noises and SNR values.

Keywords

voice activity detector hidden markov model

Authors

SYSEL, P.

RIV year

2006

Released

20. 9. 2006

Publisher

Lodz

Location

Lodz, Poland

ISBN

83-921172-5-5

Book

Proceedings of International Conference on Signals and Electronic Systems

Pages from

687

Pages to

689

Pages count

3

BibTex

@inproceedings{BUT19206,
  author="Petr {Sysel}",
  title="Statistical Based Voice Activity Detector",
  booktitle="Proceedings of International Conference on Signals and Electronic Systems",
  year="2006",
  pages="3",
  publisher="Lodz",
  address="Lodz, Poland",
  isbn="83-921172-5-5"
}