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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00207379%21RIV14-MSM-21230___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
In the presented work we are dealing with modelling and detection of lexical stress-group (foot) for Czech language. Detection of foot as one type of supra-segmental (prosody) information nearly corresponds to detection of word boundaries. Every native speaker is able to distinguish the feet in continuous speech, but on the other hand there are still no obvious connections between the sound qualities (pitch, intensity, syllable length) and foot prominence realization in Czech. In the experiment we tried to train the Hidden Markov Models (HMM) for Czech feet representation using only pitch information in the syllable nuclei. The most of Czech SPEECON database was used as an experiment source database. A necessary part of the presented system is a tool that transforms given Czech text into the foot units according to the known linguistic rules. In the presented work we are dealing with modelling and detection of lexical stress-group (foot) for Czech language. Detection of foot as one type of supra-segmental (prosody) information nearly corresponds to detection of word boundaries. Every native speaker is able to distinguish the feet in continuous speech, but on the other hand there are still no obvious connections between the sound qualities (pitch, intensity, syllable length) and foot prominence realization in Czech. In the experiment we tried to train the Hidden Markov Models (HMM) for Czech feet representation using only pitch information in the syllable nuclei. The most of Czech SPEECON database was used as an experiment source database. A necessary part of the presented system is a tool that transforms given Czech text into the foot units according to the known linguistic rules.
dcterms:title
Foot Detection in Czech Using Pitch Information and HMM Foot Detection in Czech Using Pitch Information and HMM
skos:prefLabel
Foot Detection in Czech Using Pitch Information and HMM Foot Detection in Czech Using Pitch Information and HMM
skos:notation
RIV/68407700:21230/13:00207379!RIV14-MSM-21230___
n9:predkladatel
n10:orjk%3A21230
n3:aktivita
n7:S
n3:aktivity
S
n3:dodaniDat
n19:2014
n3:domaciTvurceVysledku
n13:2857146 n13:9033017
n3:druhVysledku
n16:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
75415
n3:idVysledku
RIV/68407700:21230/13:00207379
n3:jazykVysledku
n12:eng
n3:klicovaSlova
prosody; stressed-group detection; foot; pitch; clitics absorption; ASR; HMM
n3:klicoveSlovo
n4:stressed-group%20detection n4:pitch n4:clitics%20absorption n4:prosody n4:HMM n4:ASR n4:foot
n3:kontrolniKodProRIV
[64425D673B8F]
n3:mistoKonaniAkce
Plzeň
n3:mistoVydani
Berlin
n3:nazevZdroje
Text, Speech, and Dialogue
n3:obor
n8:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n19:2013
n3:tvurceVysledku
Hanžl, Václav Bartošek, Jan
n3:typAkce
n14:EUR
n3:zahajeniAkce
2013-09-01+02:00
s:issn
0302-9743
s:numberOfPages
8
n18:hasPublisher
Springer-Verlag
n11:isbn
978-3-642-40584-6
n17:organizacniJednotka
21230