About: Empty pause detection in noisy and clean speech conditions     Goto   Sponge   NotDistinct   Permalink

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Description
  • Successful pause detection becomes an important part in the process of speech recognition and speech coding as well as in the biometrical field (stress detection) and human-machine interaction. Nowadays, only a few of proposed algorithms are able to reflect various noise conditions. This is considered in presented paper which results from research that has been made at the International Institute for Advanced Scientific Studies (IIASS) and proposes novel method for non-speech activity pause detection in spontaneous speech recordings made in noisy environments. The input signal is transformed into log spectral energy and is divided into specific frequency bands. Each band is smoothed and tracked by dynamically adjusted thresholds based on noise energy estimation. Thresholds are adapted taking into account the dynamic changes of the speech signal under environmental noise. The proposed method run in real time and does not require a priori knowledge of the SNR and a priori threshold values. Experimental
  • Successful pause detection becomes an important part in the process of speech recognition and speech coding as well as in the biometrical field (stress detection) and human-machine interaction. Nowadays, only a few of proposed algorithms are able to reflect various noise conditions. This is considered in presented paper which results from research that has been made at the International Institute for Advanced Scientific Studies (IIASS) and proposes novel method for non-speech activity pause detection in spontaneous speech recordings made in noisy environments. The input signal is transformed into log spectral energy and is divided into specific frequency bands. Each band is smoothed and tracked by dynamically adjusted thresholds based on noise energy estimation. Thresholds are adapted taking into account the dynamic changes of the speech signal under environmental noise. The proposed method run in real time and does not require a priori knowledge of the SNR and a priori threshold values. Experimental (en)
  • Successful pause detection becomes an important part in the process of speech recognition and speech coding as well as in the biometrical field (stress detection) and human-machine interaction. Nowadays, only a few of proposed algorithms are able to reflect various noise conditions. This is considered in presented paper which results from research that has been made at the International Institute for Advanced Scientific Studies (IIASS) and proposes novel method for non-speech activity pause detection in spontaneous speech recordings made in noisy environments. The input signal is transformed into log spectral energy and is divided into specific frequency bands. Each band is smoothed and tracked by dynamically adjusted thresholds based on noise energy estimation. Thresholds are adapted taking into account the dynamic changes of the speech signal under environmental noise. The proposed method run in real time and does not require a priori knowledge of the SNR and a priori threshold values. Experimental (cs)
Title
  • Empty pause detection in noisy and clean speech conditions
  • Detekce prázdných pauz v podmínkách zašuměné a čisté řeči (cs)
  • Empty pause detection in noisy and clean speech conditions (en)
skos:prefLabel
  • Empty pause detection in noisy and clean speech conditions
  • Detekce prázdných pauz v podmínkách zašuměné a čisté řeči (cs)
  • Empty pause detection in noisy and clean speech conditions (en)
skos:notation
  • RIV/00216305:26220/06:PU63412!RIV07-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 125-254
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
  • 474075
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/06:PU63412
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speech, pause detection, noise (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F7851E6AD8BC]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • 16th Czech-German Workshop on Speech Processing
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
  • Stejskal, Vojtěch
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
  • Ústav radiotechniky a elektroniky AV ČR
https://schema.org/isbn
  • 80-86269-15-9
http://localhost/t...ganizacniJednotka
  • 26220
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