Fast Approximate Spoken Term Detection from Sequence of Phonemes

Kód výsledku v IS VaVaI

RIV/00216305:26230/08:PU80187 - isvavai.cz

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fast Approximate Spoken Term Detection from Sequence of Phonemes

Popis výsledku v původním jazyce

We investigate the detection of spoken terms in conversa-
tional speech using phoneme recognition with the objective
of achieving smaller index size as well as faster search speed.
Speech is processed and indexed as a sequence of one best
phoneme sequence. We propose the use of a probabilistic
pronunciation model for the search term to compensate for
the errors in the recognition of phonemes. This model is de-
rived using the pronunciation of the word and the phoneme
confusion matrix. Experiments are performed on the con-
versational telephone speech database distributed by NIST
for the 2006 spoken term detection. We achieve about 1500
times smaller index size and 14 times faster search speed
compared tothe system using phoneme lattices, at the cost
of relatively lower detection performance.

Název v anglickém jazyce

Fast Approximate Spoken Term Detection from Sequence of Phonemes

Popis výsledku anglicky

We investigate the detection of spoken terms in conversa-
tional speech using phoneme recognition with the objective
of achieving smaller index size as well as faster search speed.
Speech is processed and indexed as a sequence of one best
phoneme sequence. We propose the use of a probabilistic
pronunciation model for the search term to compensate for
the errors in the recognition of phonemes. This model is de-
rived using the pronunciation of the word and the phoneme
confusion matrix. Experiments are performed on the con-
versational telephone speech database distributed by NIST
for the 2006 spoken term detection. We achieve about 1500
times smaller index size and 14 times faster search speed
compared tothe system using phoneme lattices, at the cost
of relatively lower detection performance.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 31st Annual International ACM SIGIR Conference 20-24 July 2008, Singapore

ISBN

978-90-365-2697-5

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Association for Computing Machinery

Místo vydání

Singapore

Místo konání akce

Singapur

Datum konání akce

20. 7. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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