About: Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper presents a technique for phonetic spoken term detection in large audio archive. It is designed within the framework of weighted finite-state transducers and utilizes the rather recently developed notion of factor automata, which we have enhanced with a score normalization and a technique for systematic query expansion which allows for phone deletions and substitutions and consequently compensates for frequent pronunciation imperfections and systematic phoneme interchanges occurring during the ASR decoding process. The experiments presented in the paper show that the new WFST-based method outperforms the baseline system both in terms of search performance and speed. Finally, the paper discusses the issues of the proposed techniques that need to be addressed before the application in real-life tasks. The paper presents a technique for phonetic spoken term detection in large audio archive. It is designed within the framework of weighted finite-state transducers and utilizes the rather recently developed notion of factor automata, which we have enhanced with a score normalization and a technique for systematic query expansion which allows for phone deletions and substitutions and consequently compensates for frequent pronunciation imperfections and systematic phoneme interchanges occurring during the ASR decoding process. The experiments presented in the paper show that the new WFST-based method outperforms the baseline system both in terms of search performance and speed. Finally, the paper discusses the issues of the proposed techniques that need to be addressed before the application in real-life tasks. (en)
Title	Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework (en)
skos:prefLabel	Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework (en)
skos:notation	RIV/49777513:23520/13:43919598!RIV14-MK0-23520___
http://linked.open...avai/predkladatel	Fakulta aplikovaných věd
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(DF12P01OVV022)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Ircing, Pavel Švec, Jan Vavruška, 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	96064
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43919598
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	finite state automata; spoken term detection (en)
http://linked.open.../riv/klicoveSlovo	finite state automata spoken term detection
http://linked.open...ontrolniKodProRIV	[B1F5ED979DB9]
http://linked.open...v/mistoKonaniAkce	Plzeň
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Text, Speech, and Dialogue
http://linked.open...in/vavai/riv/obor	AJ
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	ASR- and MT-based Access to a Large Archive of Cultural Heritage (AMALACH)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Ircing, Pavel Švec, Jan Vavruška, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-09-01 (xsd:date)
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-40585-3_51
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-40584-6
http://localhost/t...ganizacniJednotka	23520

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