Publication detail

Statistical Based Voice Activity Detector

Petr Sysel

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. There were models for these detectors created in Matlab simulation environment. Models were tested on voice signals with the white noise as well as real noises. The results were evaluated and compared for various types of noises and SNR (Signal to Noise Ratios) values.

Keywords

statistical voice activity detector

Authors

Petr Sysel

RIV year

2005

Released

14. 9. 2005

Publisher

Technical University of Ostrava

ISBN

80-248-0897-8

Book

Proceedings of 6th International Conference Research In Telecommunications Technology 2005

Pages from

537

Pages to

541

Pages count

5

BibTex

@inproceedings{BUT15214,
  author="Petr {Sysel}",
  title="Statistical Based Voice Activity Detector",
  booktitle="Proceedings of 6th International Conference Research In Telecommunications Technology 2005",
  year="2005",
  pages="5",
  publisher="Technical University of Ostrava",
  isbn="80-248-0897-8"
}