About: Neural network topologies and bottle neck features in speech recognition

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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://www.fit.vutbr.cz/~grezl/publi/mlmi2007.pdf
Description	Byly prezentováný různé topologie neuronových sítí pro odhad parametrů pro rozpoznávání řeči. Neuronová sít s bottle-neckem byla zavedena do struktury zvané "rozdelený kontext". Cílem bylo zmenšit velikost výsledné sítě, která slouží pro odhad příznaků. Když jsou bottle-neckové výstupy použity také jako finální výstupy z neuronové sítě, je dosažené i snížení chybovosti rozpoznávače.<br> (cs) This poster overviewthe newly proposed bottle-neck features and then examines the possibility of use of meural net structure with<br> bottle-neck in hierarchical neural net classifier such as Split<br> Context classifier.<br> <br> First, the neural net with bottle-neck is used in place of merger to<br> see whether the advantage seeen for single neural net will hold also<br> for hierarchical classifier. Then we use the bottle-neck neural nets<br> in place of context classifiers, using bottle-neck outputs as input to<br> a merger classifier. Finally, bottle-neck neural nets are used in both<br> stages of Split Context classifier. This improved Split Context<br> structure gains several advantages: The use of bottle-neck imply<br> size reduction of resulting classifier. Also, processing of classifier<br> output is smaller compare to probabilistic features. The WER reduction was achieved too.<br> <br> This poster overviewthe newly proposed bottle-neck features and then examines the possibility of use of meural net structure with<br> bottle-neck in hierarchical neural net classifier such as Split<br> Context classifier.<br> <br> First, the neural net with bottle-neck is used in place of merger to<br> see whether the advantage seeen for single neural net will hold also<br> for hierarchical classifier. Then we use the bottle-neck neural nets<br> in place of context classifiers, using bottle-neck outputs as input to<br> a merger classifier. Finally, bottle-neck neural nets are used in both<br> stages of Split Context classifier. This improved Split Context<br> structure gains several advantages: The use of bottle-neck imply<br> size reduction of resulting classifier. Also, processing of classifier<br> output is smaller compare to probabilistic features. The WER reduction was achieved too.<br> <br> (en)
Title	Neural network topologies and bottle neck features in speech recognition Neural network topologies and bottle neck features in speech recognition (en) Topologie neuronových sítí a bottle-neckové parametry v rozpoznávání řeči (cs)
skos:prefLabel	Neural network topologies and bottle neck features in speech recognition Neural network topologies and bottle neck features in speech recognition (en) Topologie neuronových sítí a bottle-neckové parametry v rozpoznávání řeči (cs)
skos:notation	RIV/00216305:26230/07:PU70818!RIV08-GA0-26230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA102/05/0278)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Černocký, Jan Karafiát, Martin Grézl, František
http://linked.open.../riv/druhVysledku	A(V) - Audiovizuální tvorba se vzdáleným přístupem
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	436986
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/07:PU70818
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	neural networks, topologies, speech recognition, bottle-neck features<br> (en)
http://linked.open.../riv/klicoveSlovo	bottle-neck features<br> neural networks speech recognition topologies
http://linked.open...i/riv/kodPristupu	V
http://linked.open...ontrolniKodProRIV	[940C89371228]
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	New trends in research and application of voice technology
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Grézl, František Karafiát, Martin Černocký, Jan
http://localhost/t...ganizacniJednotka	26230

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