About: System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive Goto Sponge NotDistinct Permalink

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
Description	The main objective of the work presented in this paper was to develop a complete system that would accomplish the original visions of the MALACH project. Those goals were to employ automatic speech recognition and information retrieval techniques to provide improved access to the large video archive containing recorded testimonies of the Holocaust survivors. The system has been so far developed for the Czech part of the archive only. It takes advantage of the state-of-the-art speech recognition system tailored to the challenging properties of the recordings in the archive (elderly speakers, spontaneous speech and emotionally loaded content) and its close coupling with the actual search engine.The design of the algorithm adopting the spoken term detection approach is focused on the speed of the retrieval. The resulting system is able to search through the 1,000 h of video constituting the Czech portion of the archive and find query word occurrences in the matter of seconds. The main objective of the work presented in this paper was to develop a complete system that would accomplish the original visions of the MALACH project. Those goals were to employ automatic speech recognition and information retrieval techniques to provide improved access to the large video archive containing recorded testimonies of the Holocaust survivors. The system has been so far developed for the Czech part of the archive only. It takes advantage of the state-of-the-art speech recognition system tailored to the challenging properties of the recordings in the archive (elderly speakers, spontaneous speech and emotionally loaded content) and its close coupling with the actual search engine.The design of the algorithm adopting the spoken term detection approach is focused on the speed of the retrieval. The resulting system is able to search through the 1,000 h of video constituting the Czech portion of the archive and find query word occurrences in the matter of seconds. (en)
Title	System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive (en)
skos:prefLabel	System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive (en)
skos:notation	RIV/49777513:23520/11:43898200!RIV12-AV0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(1QS101470516), S
http://linked.open...iv/cisloPeriodika	10
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Vaněk, Jan Šmídl, Luboš Pražák, Aleš Psutka, Josef Ircing, Pavel Psutka jr., Josef Švec, Jan
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	233969
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/11:43898200
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	language modeling; automatic speech recognition; spoken term detection (en)
http://linked.open.../riv/klicoveSlovo	automatic speech recognition language modeling spoken term detection
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[0AA286E0A98E]
http://linked.open...i/riv/nazevZdroje	EURASIP Journal on Audio, Speech and Music Processing
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	7 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	Automatic keyword spotting in audio data streams
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	2011
http://linked.open...iv/tvurceVysledku	Ircing, Pavel Pražák, Aleš Psutka jr., Josef Psutka, Josef Vaněk, Jan Šmídl, Luboš Švec, Jan
http://linked.open...ain/vavai/riv/wos	000299122700001
issn	1687-4714
number of pages	19 (xsd:int)
http://bibframe.org/vocab/doi	10.1186/1687-4722-2011-10
http://localhost/t...ganizacniJednotka	23520

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software