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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F07%3APU70228%21RIV08-GA0-26220___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah. In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah. In this paper the cepstral vocoder is utilized in speech enhancement task. In this application in the analysis step first an algorithm for suppression of noise is used and then the estimation of the cepstral model follows, which leads to more reliable speech parameters. The speech is then synthesized by the cepstral vocoder, which works in the source filter mode. The output speech is compared with speech enhanced by standard algorithm like spectral subtraction and Log Spectral Amplitude (LSA) estimator developed by Ephraim and Malah.
dcterms:title
Speech Enhancement using Cepstral Vocoder Speech Enhancement using Cepstral Vocoder Speech Enhancement using Cepstral Vocoder
skos:prefLabel
Speech Enhancement using Cepstral Vocoder Speech Enhancement using Cepstral Vocoder Speech Enhancement using Cepstral Vocoder
skos:notation
RIV/00216305:26220/07:PU70228!RIV08-GA0-26220___
n5:strany
110-114
n5:aktivita
n15:P
n5:aktivity
P(1ET301710509), P(GA102/07/1303)
n5:dodaniDat
n9:2008
n5:domaciTvurceVysledku
n13:5228328
n5:druhVysledku
n7:D
n5:duvernostUdaju
n16:S
n5:entitaPredkladatele
n18:predkladatel
n5:idSjednocenehoVysledku
451582
n5:idVysledku
RIV/00216305:26220/07:PU70228
n5:jazykVysledku
n19:cze
n5:klicovaSlova
Speech Enhancement, Cepstral Vocoder
n5:klicoveSlovo
n12:Cepstral%20Vocoder n12:Speech%20Enhancement
n5:kontrolniKodProRIV
[785B2FC07E60]
n5:mistoKonaniAkce
Praha
n5:mistoVydani
Praha
n5:nazevZdroje
17th Czech-German Workshop Speech Processing
n5:obor
n8:JA
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
1
n5:projekt
n6:1ET301710509 n6:GA102%2F07%2F1303
n5:rokUplatneniVysledku
n9:2007
n5:tvurceVysledku
Vondra, Martin
n5:typAkce
n17:EUR
n5:zahajeniAkce
2007-09-19+02:00
s:numberOfPages
5
n11:hasPublisher
Ústav fotoniky a elektroniky AV ČR
n21:isbn
978-80-86269-00-9
n20:organizacniJednotka
26220