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Description
  • 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 iin 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.
  • 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 iin 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. (en)
  • Příspěvek pojednává o možnosti využití statistických vlastností signálu pro detekci řečové aktivity. Detektor je založen na porovnání rozložení spektrální výkonové hustoty sledovaného signálu a odhadu spektrální výkonové hustoty rušení. Rozhodovací pravidlo je pak odvozeno od testu maximální podobnosti LRT (Likelihood Ratio Test), kdy neznámé parametry jsou odhadnuty metodou maximální podobnosti ML (Maximum Likelihood). Detektor je porovnán s energetickým detektorem pro různé poměry signálu od šumu a prro různé typy rušení. (cs)
Title
  • Statistical Based Voice Activity Detector
  • Statistical Based Voice Activity Detector (en)
  • Statistický detektor řečové aktivity (cs)
skos:prefLabel
  • Statistical Based Voice Activity Detector
  • Statistical Based Voice Activity Detector (en)
  • Statistický detektor řečové aktivity (cs)
skos:notation
  • RIV/00216305:26220/05:PU51358!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 537-541
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET301710509), P(GA102/04/1097), Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 544535
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU51358
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • statistical voice activity detector (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B0B545ED236A]
http://linked.open...v/mistoKonaniAkce
  • Hradec nad Moravicí
http://linked.open...i/riv/mistoVydani
  • NEUVEDEN
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 6th International Conference Research In Telecommunications Technology 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sysel, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 80-248-0897-8
http://localhost/t...ganizacniJednotka
  • 26220
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