Detail publikace

Statistical Based Voice Activity Detector

Petr Sysel

Originální název

Statistical Based Voice Activity Detector

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

statistical voice activity detector

Autoři

Petr Sysel

Rok RIV

2005

Vydáno

14. 9. 2005

Nakladatel

Technical University of Ostrava

ISBN

80-248-0897-8

Kniha

Proceedings of 6th International Conference Research In Telecommunications Technology 2005

Strany od

537

Strany do

541

Strany počet

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"
}