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Description
  • An improvement of the classical single-channel speech enhancement technique by comb filtering is presented in the paper. The comb filter is adaptive and tuned by the estimated pitch frequency. It is constructed empirically in the frequency domain using two approaches and is applied in voiced frames only also in frequency domain. The pitch frequency is estimated from enhanced speech in the frequency domain too. As classical speech enhancement technique, which is used prior comb filtering, the minimum mean-square error log-spectral amplitude estimator was applied. The obtained enhancement of speech corrupted by different noise sources is evaluated and compared for configuration with and without comb filtering by informal listening tests and using signal-to-noise ratio.
  • An improvement of the classical single-channel speech enhancement technique by comb filtering is presented in the paper. The comb filter is adaptive and tuned by the estimated pitch frequency. It is constructed empirically in the frequency domain using two approaches and is applied in voiced frames only also in frequency domain. The pitch frequency is estimated from enhanced speech in the frequency domain too. As classical speech enhancement technique, which is used prior comb filtering, the minimum mean-square error log-spectral amplitude estimator was applied. The obtained enhancement of speech corrupted by different noise sources is evaluated and compared for configuration with and without comb filtering by informal listening tests and using signal-to-noise ratio. (en)
  • Hřebenový filtr je použit jako postprocessing klasické techniky pro zvýrazňování metodou spektrální subtrakce. (cs)
Title
  • Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction
  • Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction (en)
  • Adaptivní hřebenový filtr pro zvýrazňování řeči spektrální subtrakcí (cs)
skos:prefLabel
  • Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction
  • Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction (en)
  • Adaptivní hřebenový filtr pro zvýrazňování řeči spektrální subtrakcí (cs)
skos:notation
  • RIV/00216305:26220/07:PU68869!RIV08-AV0-26220___
http://linked.open.../vavai/riv/strany
  • 130-136
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET301710509)
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
  • 408529
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU68869
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Speech Enhancement, Comb Filtering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F629548EF551]
http://linked.open...v/mistoKonaniAkce
  • Cottbus
http://linked.open...i/riv/mistoVydani
  • Dresden
http://linked.open...i/riv/nazevZdroje
  • Elektronische Sprachsignalverarbeitung
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
  • Vondra, Martin
  • Vích, Robert
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • TUD press
https://schema.org/isbn
  • 978-3-940046-40-6
http://localhost/t...ganizacniJednotka
  • 26220
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