About: Bottleneck ANN: dealing with small amount of data in shift-MLLR adaptation

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The aim of this work is to propose a refinement of the shift-MLLR (shift Maximum Likelihood Linear Regression) adaptation of an acoustics model in the case of limited amount of adaptation data, which can lead to ill-conditioned transformations matrices. We try to suppress the influence of badly estimated transformation parameters utilizing the bottleneck Artificial Neural Network (ANN). The ill-conditioned shift-MLLR transformation is propagated through a bottleneck ANN (suitably trained beforehand), and the output of the net is used as the new refined transformation. To train the ANN the well and the badly conditioned shift-MLLR transformations are used as outputs and inputs of ANN, respectively. The aim of this work is to propose a refinement of the shift-MLLR (shift Maximum Likelihood Linear Regression) adaptation of an acoustics model in the case of limited amount of adaptation data, which can lead to ill-conditioned transformations matrices. We try to suppress the influence of badly estimated transformation parameters utilizing the bottleneck Artificial Neural Network (ANN). The ill-conditioned shift-MLLR transformation is propagated through a bottleneck ANN (suitably trained beforehand), and the output of the net is used as the new refined transformation. To train the ANN the well and the badly conditioned shift-MLLR transformations are used as outputs and inputs of ANN, respectively. (en)
Title	Bottleneck ANN: dealing with small amount of data in shift-MLLR adaptation Bottleneck ANN: dealing with small amount of data in shift-MLLR adaptation (en)
skos:prefLabel	Bottleneck ANN: dealing with small amount of data in shift-MLLR adaptation Bottleneck ANN: dealing with small amount of data in shift-MLLR adaptation (en)
skos:notation	RIV/49777513:23520/12:43915991!RIV14-TA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(TA01030476), S
http://linked.open...vai/riv/dodaniDat	2014
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	125417
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/12:43915991
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ASR, Adaptation, shift-MLLR, ANN, bottleneck (en)
http://linked.open.../riv/klicoveSlovo	ANN bottleneck shift-MLLR ASR Adaptation
http://linked.open...ontrolniKodProRIV	[4FBC55513D9F]
http://linked.open...v/mistoKonaniAkce	Beijing
http://linked.open...i/riv/mistoVydani	Beijing
http://linked.open...i/riv/nazevZdroje	Proceedings 2012 IEEE 11th International Conference on Signal Processing
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	Intelligent technologies for improving air traffic security
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Machlica, Lukáš Zajíc, Zbyněk Müller, Luděk
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-10-21 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Press
https://schema.org/isbn	978-1-4673-2194-5
http://localhost/t...ganizacniJednotka	23520

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