About: Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations

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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
rdfs:seeAlso	http://dx.doi.org/10.1007/978-3-642-40585-3_38
Description	The aim of this paper is to improve speech recognition by enriching language models with automatically detected foreign inclusions from a training text. The enriching is restricted only to foreign, proper-noun inclusions which are typically a dominant part of miss-recognized words. In our suggested approach, character-based n-gram language models are used for detection of foreign, single-word inclusions and for a language identification, and finite state transducers are used to generate foreign pronunciations. Results of this paper show that by enriching language model with English proper nouns found in Czech training text, the recognition of a speech containing English inclusions can be improved by 9.4% relative reduction of WER. The aim of this paper is to improve speech recognition by enriching language models with automatically detected foreign inclusions from a training text. The enriching is restricted only to foreign, proper-noun inclusions which are typically a dominant part of miss-recognized words. In our suggested approach, character-based n-gram language models are used for detection of foreign, single-word inclusions and for a language identification, and finite state transducers are used to generate foreign pronunciations. Results of this paper show that by enriching language model with English proper nouns found in Czech training text, the recognition of a speech containing English inclusions can be improved by 9.4% relative reduction of WER. (en)
Title	Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations (en)
skos:prefLabel	Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations (en)
skos:notation	RIV/49777513:23520/13:43921193!RIV14-TA0-23520___
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...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Lehečka, Jan Švec, 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	79327
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43921193
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Language Identification, G2P, ASR (en)
http://linked.open.../riv/klicoveSlovo	Language Identification G2P ASR
http://linked.open...ontrolniKodProRIV	[7F1C53C550F0]
http://linked.open...v/mistoKonaniAkce	Plzeň
http://linked.open...i/riv/mistoVydani	Berlin Heidelberg
http://linked.open...i/riv/nazevZdroje	Text, Speech, and Dialogue 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre for Applied Cybernetics 3 NTIS - New Technologies for Information Society
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Lehečka, Jan Švec, 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_38
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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