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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F08%3APU80187%21RIV10-MSM-26230___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
We investigate the detection of spoken terms in conversa-<br> tional speech using phoneme recognition with the objective<br> of achieving smaller index size as well as faster search speed.<br> Speech is processed and indexed as a sequence of one best<br> phoneme sequence. We propose the use of a probabilistic<br> pronunciation model for the search term to compensate for<br> the errors in the recognition of phonemes. This model is de-<br> rived using the pronunciation of the word and the phoneme<br> confusion matrix. Experiments are performed on the con-<br> versational telephone speech database distributed by NIST<br> for the 2006 spoken term detection. We achieve about 1500<br> times smaller index size and 14 times faster search speed<br> compared to the system using phoneme lattices, at the cost<br> of relatively lower detection performance. We investigate the detection of spoken terms in conversa-<br> tional speech using phoneme recognition with the objective<br> of achieving smaller index size as well as faster search speed.<br> Speech is processed and indexed as a sequence of one best<br> phoneme sequence. We propose the use of a probabilistic<br> pronunciation model for the search term to compensate for<br> the errors in the recognition of phonemes. This model is de-<br> rived using the pronunciation of the word and the phoneme<br> confusion matrix. Experiments are performed on the con-<br> versational telephone speech database distributed by NIST<br> for the 2006 spoken term detection. We achieve about 1500<br> times smaller index size and 14 times faster search speed<br> compared to the system using phoneme lattices, at the cost<br> of relatively lower detection performance.
dcterms:title
Fast Approximate Spoken Term Detection from Sequence of Phonemes Fast Approximate Spoken Term Detection from Sequence of Phonemes
skos:prefLabel
Fast Approximate Spoken Term Detection from Sequence of Phonemes Fast Approximate Spoken Term Detection from Sequence of Phonemes
skos:notation
RIV/00216305:26230/08:PU80187!RIV10-MSM-26230___
n4:aktivita
n11:Z
n4:aktivity
Z(MSM0021630528)
n4:dodaniDat
n7:2010
n4:domaciTvurceVysledku
n17:7469772 n17:8354308
n4:druhVysledku
n18:D
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
367687
n4:idVysledku
RIV/00216305:26230/08:PU80187
n4:jazykVysledku
n20:eng
n4:klicovaSlova
Spoken term detection, probabilistic pronunciation model, phoneme recognition, confusion matrix<br><br>
n4:klicoveSlovo
n6:confusion%20matrix%3Cbr%3E%3Cbr%3E n6:Spoken%20term%20detection n6:phoneme%20recognition n6:probabilistic%20pronunciation%20model
n4:kontrolniKodProRIV
[A50D5FA7F991]
n4:mistoKonaniAkce
Singapur
n4:mistoVydani
Singapore
n4:nazevZdroje
The 31st Annual International ACM SIGIR Conference 20-24 July 2008, Singapore
n4:obor
n9:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n7:2008
n4:tvurceVysledku
Szöke, Igor Prasanna, S.R.M. Heřmanský, Hynek Pinto, Joel
n4:typAkce
n19:WRD
n4:zahajeniAkce
2008-07-20+02:00
n4:zamer
n21:MSM0021630528
s:numberOfPages
8
n14:hasPublisher
Association for Computing Machinery
n16:isbn
978-90-365-2697-5
n15:organizacniJednotka
26230