About: Low-dimensional Space Transforms of Posteriors in Speech Recognition

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper we present three novel posterior transforms with the primary goal to achieve a high reduction of a feature vector size. The presented methods transform the posteriors to 1D or 2D space. For such a high reduction ratio the usually applied methods fail to keep the discriminative information. Contrary, the presented methods were specifically designed to retain most of the discriminative information. In our experiments, we used several different combinations of feature extraction methods nowadays commonly used, i.e. the PLP features (augmented with delta and acceleration coefficients) and two kinds of MLP-ANN features: the bottleneck (BN) and posterior estimates (PE). The experiments were designed with special attention to the assessment of possible improvements of the performance when the PLP features are combined either with the BN features or with the PE features whose dimensionality was reduced using the proposed feature transforms. The performance of the designed transforms was tested o In this paper we present three novel posterior transforms with the primary goal to achieve a high reduction of a feature vector size. The presented methods transform the posteriors to 1D or 2D space. For such a high reduction ratio the usually applied methods fail to keep the discriminative information. Contrary, the presented methods were specifically designed to retain most of the discriminative information. In our experiments, we used several different combinations of feature extraction methods nowadays commonly used, i.e. the PLP features (augmented with delta and acceleration coefficients) and two kinds of MLP-ANN features: the bottleneck (BN) and posterior estimates (PE). The experiments were designed with special attention to the assessment of possible improvements of the performance when the PLP features are combined either with the BN features or with the PE features whose dimensionality was reduced using the proposed feature transforms. The performance of the designed transforms was tested o (en)
Title	Low-dimensional Space Transforms of Posteriors in Speech Recognition Low-dimensional Space Transforms of Posteriors in Speech Recognition (en)
skos:prefLabel	Low-dimensional Space Transforms of Posteriors in Speech Recognition Low-dimensional Space Transforms of Posteriors in Speech Recognition (en)
skos:notation	RIV/49777513:23520/10:00504557!RIV11-GA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GA102/08/0707), P(LC536), S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Müller, Luděk Trmal, Jan Zelinka, Jan
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	268976
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:00504557
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	speech recognition; posteriors; ANN; bottleneck (en)
http://linked.open.../riv/klicoveSlovo	ANN bottleneck speech recognition posteriors
http://linked.open...ontrolniKodProRIV	[4F9F3597F2DD]
http://linked.open...v/mistoKonaniAkce	Makuhari, Chiba, Japan
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	Speech Recognition under Real-World Conditions Integrated center for natural language processing
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Zelinka, Jan Müller, Luděk Trmal, Jan
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
is http://linked.open...avai/riv/vysledek of	Low-dimensional Space Transforms of Posteriors in Speech Recognition Low-dimensional Space Transforms of Posteriors in Speech Recognition Low-dimensional Space Transforms of Posteriors in Speech Recognition

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