| Szőke, I., Burget, L., Karafiát, M.: Combination of Word and Phoneme Approach for Spoken Term Detection, Brno, CZ, 2007, s. 1-1 | | Jazyk publikace: | angličtina |
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| Název publikace: | Combination of Word and Phoneme Approach for Spoken Term Detection |
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| Název (cs): | Kombinace slovního a fonémového přístupu k vyhledávání klíčových frází |
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| Strany: | 1-1 |
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| Konference: | Machine Learning and Multimodal Interaction |
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| Místo vydání: | Brno, CZ |
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| Rok: | 2007 |
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| URL: | http://www.fit.vutbr.cz/research/groups/speech/publi/2007/szoke_kws_ins_mlmi_poster_2007.pdf [PDF] |
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| Klíčová slova |
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detekce klíčových frází
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| Anotace |
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| Poster je o kombinaci slovního a fonémového přístupu k vyhledávání klíčových frází |
| Abstrakt |
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The goal is to provide a technique for search for an out-of-vocabulary
(OOV) term or keyword in a speech. The spoken term detection is based
on lattices generated from word and phoneme recognizers. The term is
a sequence of words (quoted query). The results are evaluated on the
Broadcast news subset of NIST STD 2006 development set. Our goal
is to propose an upper-bound word/phoneme combination technique for
Spoken Term Detection (STD). We want to estimate the upper bound results
for OOV terms, which can be achieved using rescoring by strong
(and slow) LVCSR system. Then we can decide how much worse is an
simple (and fast) sub-word method.
We also evaluated different approaches for term confidence estimation
and two differen approaches for phoneme lattice generation.
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Fakulta informačních technologií