About: Using Syllables as Acoustic Units for Spontaneous Speech Recognition

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this work, we deal with advanced context-dependent automatic speech recognition (ASR) of Czech spontaneous talk using hidden Markov models (HMM). Context-dependent units (e.g. triphones, diphones) in ASR systems provide significant improvement against simple non-context-dependent units. However, for spontaneous speech recognition we had to overcome some very challenging tasks. For one, the number of syllables compared to the size of spontaneous speech corpus makes the usage of context-dependent units very difficult. The main part of this article shows problems and procedures to effectively build and use a syllable-based ASR with the LASER (ASR system developed at Department of Computer Science and Engineering, Faculty of Applied Sciences). The procedures are usable with virtual any modern ASR. In this work, we deal with advanced context-dependent automatic speech recognition (ASR) of Czech spontaneous talk using hidden Markov models (HMM). Context-dependent units (e.g. triphones, diphones) in ASR systems provide significant improvement against simple non-context-dependent units. However, for spontaneous speech recognition we had to overcome some very challenging tasks. For one, the number of syllables compared to the size of spontaneous speech corpus makes the usage of context-dependent units very difficult. The main part of this article shows problems and procedures to effectively build and use a syllable-based ASR with the LASER (ASR system developed at Department of Computer Science and Engineering, Faculty of Applied Sciences). The procedures are usable with virtual any modern ASR. (en)
Title	Using Syllables as Acoustic Units for Spontaneous Speech Recognition Using Syllables as Acoustic Units for Spontaneous Speech Recognition (en)
skos:prefLabel	Using Syllables as Acoustic Units for Spontaneous Speech Recognition Using Syllables as Acoustic Units for Spontaneous Speech Recognition (en)
skos:notation	RIV/49777513:23520/10:00504241!RIV11-MSM-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(2C06009), S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Hejtmánek, 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	294833
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:00504241
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ASR; spontaneous speech recognition; syllables; acomatic units. (en)
http://linked.open.../riv/klicoveSlovo	syllables ASR acomatic units. spontaneous speech recognition
http://linked.open...ontrolniKodProRIV	[EC0FCB23C23E]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Text, Speech and Dialogue
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Complex knowledge base tools for natural language communication with the semantic web
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Hejtmánek, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-01-01 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-15759-2
http://localhost/t...ganizacniJednotka	23520

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