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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F11%3APU96148%21RIV12-MSM-26230___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
We have introduced a novel approach for language recognition. Three classifiers (linear generative model, SVM and logistic regression) have been tested in the iVector space, and all outperform the state-of-the-art JFA system. Very simple and fast classifier based on linear generative model provides excellent performance over all conditions. The advantage of this classifier is also its scalability: addition of a new language only requires estimating the mean over the corresponding iVectors. Most of the computational load is in the iVector generation. Hence, as a next step, we will try to obtain iVectors from the utterances and the corresponding sufficient statistics in a more direct way. We have introduced a novel approach for language recognition. Three classifiers (linear generative model, SVM and logistic regression) have been tested in the iVector space, and all outperform the state-of-the-art JFA system. Very simple and fast classifier based on linear generative model provides excellent performance over all conditions. The advantage of this classifier is also its scalability: addition of a new language only requires estimating the mean over the corresponding iVectors. Most of the computational load is in the iVector generation. Hence, as a next step, we will try to obtain iVectors from the utterances and the corresponding sufficient statistics in a more direct way.
dcterms:title
Language Recognition in iVectors Space Language Recognition in iVectors Space
skos:prefLabel
Language Recognition in iVectors Space Language Recognition in iVectors Space
skos:notation
RIV/00216305:26230/11:PU96148!RIV12-MSM-26230___
n12:predkladatel
n13:orjk%3A26230
n3:aktivita
n18:Z
n3:aktivity
Z(MSM0021630528)
n3:dodaniDat
n7:2012
n3:domaciTvurceVysledku
n4:7822995 n4:4922514 n4:2912988 n4:3678539
n3:druhVysledku
n11:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
208943
n3:idVysledku
RIV/00216305:26230/11:PU96148
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Acoustic Language Recognition, iVectors, Joint Factor Analysis
n3:klicoveSlovo
n6:Acoustic%20Language%20Recognition n6:Joint%20Factor%20Analysis n6:iVectors
n3:kontrolniKodProRIV
[71889611B429]
n3:mistoKonaniAkce
Florence Italy
n3:mistoVydani
Florence
n3:nazevZdroje
Proceedings of Interspeech 2011
n3:obor
n19:JC
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n7:2011
n3:tvurceVysledku
Glembek, Ondřej Burget, Lukáš Martínez González, David Matějka, Pavel Plchot, Oldřich
n3:typAkce
n16:WRD
n3:zahajeniAkce
2011-08-27+02:00
n3:zamer
n10:MSM0021630528
s:numberOfPages
4
n5:hasPublisher
International Speech Communication Association
n15:isbn
978-1-61839-270-1
n22:organizacniJednotka
26230