About: Robust Neural Network-Based Estimation of Articulatory Features for Czech

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://nnw.cz/obsahy14.html#5-2014
Description	The article describes a neural network-based articulatory feature (AF) estimation for the Czech speech. First, the relationship between AFs and a Czech phone inventory is defined, and then the estimation based on the MLP neural networks is done. The usage of several speech representations on the input of the MLP classifiers is proposed with the purpose to obtain a robust AF estimation. The realized experiments have proved that an ANN- based AF estimation works very reliably especially in a low noise environment. Moreover, in case the number of neurons in a hidden layer is increased and if the temporal context DCT-TRAP features are used on the input of the MLP network, the AF classification works accurately also for the signals collected in the environments with a high background noise. The article describes a neural network-based articulatory feature (AF) estimation for the Czech speech. First, the relationship between AFs and a Czech phone inventory is defined, and then the estimation based on the MLP neural networks is done. The usage of several speech representations on the input of the MLP classifiers is proposed with the purpose to obtain a robust AF estimation. The realized experiments have proved that an ANN- based AF estimation works very reliably especially in a low noise environment. Moreover, in case the number of neurons in a hidden layer is increased and if the temporal context DCT-TRAP features are used on the input of the MLP network, the AF classification works accurately also for the signals collected in the environments with a high background noise. (en)
Title	Robust Neural Network-Based Estimation of Articulatory Features for Czech Robust Neural Network-Based Estimation of Articulatory Features for Czech (en)
skos:prefLabel	Robust Neural Network-Based Estimation of Articulatory Features for Czech Robust Neural Network-Based Estimation of Articulatory Features for Czech (en)
skos:notation	RIV/68407700:21230/14:00221424!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Pollák, Petr Mizera, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	42969
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00221424
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Speech recognition; articulatory features; robust estimation; neural networks; MLP; temporal patterns; TRAP (en)
http://linked.open.../riv/klicoveSlovo	MLP Speech recognition robust estimation TRAP neural networks temporal patterns articulatory features
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[1ACDC9A81F18]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	24
http://linked.open...iv/tvurceVysledku	Pollák, Petr Mizera, Petr
http://linked.open...ain/vavai/riv/wos	000344832300003
issn	1210-0552
number of pages	16 (xsd:int)
http://bibframe.org/vocab/doi	10.14311/NNW.2014.24.027
http://localhost/t...ganizacniJednotka	21230

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