About: Discriminative adaptation based on fast combination of DMAP and DfMLLR

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper investigates the combination of discriminative adaptation techniques. The discriminative Maximum A-Posteriori (DMAP) adaptation and discriminative feature Maximum Likelihood Linear Regression (DfMLLR) are examined. Since each of the methods is proposed for distinct amount of adaptation data it is useful to combine them in order to preserve the systems performance in situations with varying amount of adaptation data. Generally, DfMLLR and DMAP are executed subsequently (DMAP preceded by DfMLLR) demanding to approach the data twice. Since both methods address the data through the same statistics an one-pass-combination was proposed in order to decrease the time consumption. The one-pass-combination utilizes the advantage of DfMLLR method to transform directly the feature vectors. However, instead of feature vectors the statistics are transformed, what allows to use already computed statistics for the DMAP pass without the need to process the data once again. All the approaches This paper investigates the combination of discriminative adaptation techniques. The discriminative Maximum A-Posteriori (DMAP) adaptation and discriminative feature Maximum Likelihood Linear Regression (DfMLLR) are examined. Since each of the methods is proposed for distinct amount of adaptation data it is useful to combine them in order to preserve the systems performance in situations with varying amount of adaptation data. Generally, DfMLLR and DMAP are executed subsequently (DMAP preceded by DfMLLR) demanding to approach the data twice. Since both methods address the data through the same statistics an one-pass-combination was proposed in order to decrease the time consumption. The one-pass-combination utilizes the advantage of DfMLLR method to transform directly the feature vectors. However, instead of feature vectors the statistics are transformed, what allows to use already computed statistics for the DMAP pass without the need to process the data once again. All the approaches (en)
Title	Discriminative adaptation based on fast combination of DMAP and DfMLLR Discriminative adaptation based on fast combination of DMAP and DfMLLR (en)
skos:prefLabel	Discriminative adaptation based on fast combination of DMAP and DfMLLR Discriminative adaptation based on fast combination of DMAP and DfMLLR (en)
skos:notation	RIV/49777513:23520/10:00504560!RIV11-MSM-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(2C06020), P(LC536), S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zajíc, Zbyněk Müller, Luděk Machlica, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	254611
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:00504560
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	MAP; fMLLR; DMAP; DfMLLR; MMI; adaptation; speech recognition; combination (en)
http://linked.open.../riv/klicoveSlovo	DMAP fMLLR adaptation MAP speech recognition MMI combination DfMLLR
http://linked.open...ontrolniKodProRIV	[9A348B0C71F7]
http://linked.open...v/mistoKonaniAkce	Makuhari, Chiba, Japonsko
http://linked.open...i/riv/mistoVydani	Red Hook
http://linked.open...i/riv/nazevZdroje	Interspeech 2010
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Elimination of the language barriers faced by the handicapped watchers of the Czech Television Integrated center for natural language processing
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Machlica, Lukáš Zajíc, Zbyněk Müller, Luděk
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-01-01 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Curran Associates
https://schema.org/isbn	978-1-61782-123-3
http://localhost/t...ganizacniJednotka	23520

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