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Description
  • In automatic speech recognition and speech modal analysis, good quality of input speech signal is often required. The hit rate of recognizers is lowered by degradation of speech quality due to the noise. Blind source separation can be used to enhance the speech signal as a part of preprocessing techniques. This paper presents a multi channel linear blind source separation method that can be applied even in underdetermined case (UDC) i.e. when the number of source signals is higher than the number of sensors. The experiments show that our system outperforms conventional time-frequency binary masking (TFBM) in both determined and underdetermined cases.
  • In automatic speech recognition and speech modal analysis, good quality of input speech signal is often required. The hit rate of recognizers is lowered by degradation of speech quality due to the noise. Blind source separation can be used to enhance the speech signal as a part of preprocessing techniques. This paper presents a multi channel linear blind source separation method that can be applied even in underdetermined case (UDC) i.e. when the number of source signals is higher than the number of sensors. The experiments show that our system outperforms conventional time-frequency binary masking (TFBM) in both determined and underdetermined cases. (en)
Title
  • Undertermined Blind Source Separation Using Linear Separation System
  • Undertermined Blind Source Separation Using Linear Separation System (en)
skos:prefLabel
  • Undertermined Blind Source Separation Using Linear Separation System
  • Undertermined Blind Source Separation Using Linear Separation System (en)
skos:notation
  • RIV/00216305:26220/09:PU80006!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/1303), P(OC08057)
http://linked.open...iv/cisloPeriodika
  • 5398
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
  • 347577
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/09:PU80006
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Array signal processing, beamforming, blind source separation, speech processing, time-frequency binary masking. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [5AD469D52516]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science (IF 0,513)
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...v/svazekPeriodika
  • 2009
http://linked.open...iv/tvurceVysledku
  • Smékal, Zdeněk
  • Čermák, Jan
issn
  • 0302-9743
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
is http://linked.open...avai/riv/vysledek of
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