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  • The paper compares different methods of power spectral density estimation of noise. In the first part, estimation bias, estimation variance and estimation consistency are proposed as criteria for comparison of methods. In the next part, the non-parametric (periodogram, Bartlett and Welch methods) and the parametric (AR model) methods are discussed. Finally, the enhancement of noisy speech recordings from an actual environment by spectral subtraction using various methods of power spectral density estimation is realized and the result is evaluated.
  • The paper compares different methods of power spectral density estimation of noise. In the first part, estimation bias, estimation variance and estimation consistency are proposed as criteria for comparison of methods. In the next part, the non-parametric (periodogram, Bartlett and Welch methods) and the parametric (AR model) methods are discussed. Finally, the enhancement of noisy speech recordings from an actual environment by spectral subtraction using various methods of power spectral density estimation is realized and the result is evaluated. (en)
  • Příspěvek se zabývá porovnáním různých metod odhadu výkonové spektrální hustoty šumu. V první části jsou jako kritéria pro hodnocení metod navrženy vychýlení odhadu, rozptyl odhadu a konsistentnost odhadu. V další části jsou pak popsány neparametrické metody (periodogram, Bartletova, Welchova) a parametrické metody (AR model) odhadu výkonové spektrální hustoty. V závěru jsou různé metody odhadu výkonové spektrální hustoty šumu použity v metodě spektrálního odečítání pro zvýraznění řeči a jsou zhodnoceny výsledky. (cs)
Title
  • Bias and Variance of Methods for Power Spectral Density Estimation
  • Vychýlení a rozptyl metod odhadu výkonové spektrální hustoty (cs)
  • Bias and Variance of Methods for Power Spectral Density Estimation (en)
skos:prefLabel
  • Bias and Variance of Methods for Power Spectral Density Estimation
  • Vychýlení a rozptyl metod odhadu výkonové spektrální hustoty (cs)
  • Bias and Variance of Methods for Power Spectral Density Estimation (en)
skos:notation
  • RIV/00216305:26220/07:PU70363!RIV08-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 407-410
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET110540521), P(GA102/06/1233), 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
  • 411687
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU70363
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • estimation bias, estimation variance, power spectral density (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DFB79880F3CC]
http://linked.open...v/mistoKonaniAkce
  • Liptovský Ján
http://linked.open...i/riv/mistoVydani
  • Liptovský Ján
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 8th International Conference Research in Telecommunication Technology 2007
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
  • Žilinská univerzita v Žiline
https://schema.org/isbn
  • 978-80-8070-735-4
http://localhost/t...ganizacniJednotka
  • 26220
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