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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F10%3A00504241%21RIV11-MSM-23520___
rdf:type
n13:Vysledek skos:Concept
dcterms: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.
dcterms:title
Using Syllables as Acoustic Units for Spontaneous Speech Recognition Using Syllables as Acoustic Units for Spontaneous Speech Recognition
skos:prefLabel
Using Syllables as Acoustic Units for Spontaneous Speech Recognition Using Syllables as Acoustic Units for Spontaneous Speech Recognition
skos:notation
RIV/49777513:23520/10:00504241!RIV11-MSM-23520___
n3:aktivita
n10:S n10:P
n3:aktivity
P(2C06009), S
n3:dodaniDat
n7:2011
n3:domaciTvurceVysledku
n20:6140939
n3:druhVysledku
n19:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
294833
n3:idVysledku
RIV/49777513:23520/10:00504241
n3:jazykVysledku
n14:eng
n3:klicovaSlova
ASR; spontaneous speech recognition; syllables; acomatic units.
n3:klicoveSlovo
n4:syllables n4:ASR n4:spontaneous%20speech%20recognition n4:acomatic%20units.
n3:kontrolniKodProRIV
[EC0FCB23C23E]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Berlin
n3:nazevZdroje
Text, Speech and Dialogue
n3:obor
n12:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n5:2C06009
n3:rokUplatneniVysledku
n7:2010
n3:tvurceVysledku
Hejtmánek, Jan
n3:typAkce
n16:WRD
n3:zahajeniAkce
2010-01-01+01:00
s:numberOfPages
7
n18:hasPublisher
Springer-Verlag
n15:isbn
978-3-642-15759-2
n17:organizacniJednotka
23520