About: Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with a processing of hidden subtitles and with an assignment of subtitles without time alignment to the corresponding parts of audio records. The first part of this paper describes processing of hidden subtitles using a software framework designed for handling large volumes of language modelling data. It evaluates characteristics of a corpus built from publicly available subtitles and compares them with the corpora created from other sources of data such as news articles. The corpus consistency and similarity to other data sources is evaluated using a standard Spearman rank correlation coefficients. The second part presents a novel algorithm for unsupervised alignment of hidden subtitles to the corresponding audio. The algorithm uses no prior time alignment information. The method is based on a keyword spotting algorithm. This algorithm is used for approximate alignment, because large amount of redundant information is included in obtained results. The longest common subsequence algorithm then determines the best alignment of an audio and a subtitle. The method was verified on a set of real data (set of TV shows with hidden subtitles). This paper deals with a processing of hidden subtitles and with an assignment of subtitles without time alignment to the corresponding parts of audio records. The first part of this paper describes processing of hidden subtitles using a software framework designed for handling large volumes of language modelling data. It evaluates characteristics of a corpus built from publicly available subtitles and compares them with the corpora created from other sources of data such as news articles. The corpus consistency and similarity to other data sources is evaluated using a standard Spearman rank correlation coefficients. The second part presents a novel algorithm for unsupervised alignment of hidden subtitles to the corresponding audio. The algorithm uses no prior time alignment information. The method is based on a keyword spotting algorithm. This algorithm is used for approximate alignment, because large amount of redundant information is included in obtained results. The longest common subsequence algorithm then determines the best alignment of an audio and a subtitle. The method was verified on a set of real data (set of TV shows with hidden subtitles). (en)
Title	Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm (en)
skos:prefLabel	Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm (en)
skos:notation	RIV/49777513:23520/12:43916104!RIV13-MSM-23520___
http://linked.open...avai/predkladatel	Fakulta aplikovaných věd
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0090), P(TE01020197), S
http://linked.open...iv/cisloPeriodika	Neuveden
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Šmídl, Luboš Švec, Jan Stanislav, 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	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	176076
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/12:43916104
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	keyword spotting, text alignment, subtitles (en)
http://linked.open.../riv/klicoveSlovo	subtitles keyword spotting text alignment
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[189A92E6BDDB]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Artificial Intelligence
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	Centre for Applied Cybernetics 3 NTIS - New Technologies for Information Society
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	7499
http://linked.open...iv/tvurceVysledku	Šmídl, Luboš Švec, Jan Stanislav, Petr
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-32790-2_51
http://localhost/t...ganizacniJednotka	23520
is http://linked.open...avai/riv/vysledek of	Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm

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