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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F14%3APU111949%21RIV15-MSM-26230___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
In this paper a multilingual training of Stacked Bottle- Neck neural network structure for feature extraction is addressed. While for languages with plentiful resources, the optimal approach is to train the BN-NN on the target data, limited resources call for re-using data from other languages. In this paper a multilingual training of Stacked Bottle- Neck neural network structure for feature extraction is addressed. While for languages with plentiful resources, the optimal approach is to train the BN-NN on the target data, limited resources call for re-using data from other languages.
dcterms:title
Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language
skos:prefLabel
Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language
skos:notation
RIV/00216305:26230/14:PU111949!RIV15-MSM-26230___
n3:aktivita
n15:S n15:P
n3:aktivity
P(ED1.1.00/02.0070), P(GPP202/12/P604), S
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
n12:3626407 n12:8304874 n12:4495896
n3:druhVysledku
n18:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
1575
n3:idVysledku
RIV/00216305:26230/14:PU111949
n3:jazykVysledku
n17:eng
n3:klicovaSlova
feature extraction, Bottle-neck features, neural network adaptation, multilingual neural networks, Stacked Bottle- Neck structure
n3:klicoveSlovo
n8:neural%20network%20adaptation n8:multilingual%20neural%20networks n8:Stacked%20Bottle-%20Neck%20structure n8:feature%20extraction n8:Bottle-neck%20features
n3:kontrolniKodProRIV
[75ACB1B993BC]
n3:mistoKonaniAkce
Florencie
n3:mistoVydani
Florencie
n3:nazevZdroje
Proceedings of ICASSP 2014
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n11:GPP202%2F12%2FP604 n11:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n6:2014
n3:tvurceVysledku
Veselý, Karel Grézl, František Karafiát, Martin
n3:typAkce
n20:WRD
n3:zahajeniAkce
2014-05-04+02:00
s:numberOfPages
5
n16:hasPublisher
IEEE Signal Processing Society
n21:isbn
978-1-4799-2892-7
n9:organizacniJednotka
26230