Recovery of Rare Words in Lecture Speech
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89608" target="_blank" >RIV/00216305:26230/10:PU89608 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Recovery of Rare Words in Lecture Speech
Popis výsledku v původním jazyce
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, each of which might appear a few times only in particular documents. In most documents, however, these rare words are not seen at all. The first type of words is typically included in the language model of an automatic speech recognizer (ASR) and is thus widely referred to as invocabulary (IV). Words of the second type are missing in the language model and thus are called out-of-vocabulary (OOV). However, these words usually carry important information. We use a hybrid word/sub-word recognizer to detect OOV words occurring in English talks and describe them as sequences of sub-words.We detected about one third of all OOV words, and were able to recover the correct spelling for 26.2% of all detections by using a phoneme-to-grapheme (P2G) conversion trained on the recognition dictionary. By omitting detections
Název v anglickém jazyce
Recovery of Rare Words in Lecture Speech
Popis výsledku anglicky
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, each of which might appear a few times only in particular documents. In most documents, however, these rare words are not seen at all. The first type of words is typically included in the language model of an automatic speech recognizer (ASR) and is thus widely referred to as invocabulary (IV). Words of the second type are missing in the language model and thus are called out-of-vocabulary (OOV). However, these words usually carry important information. We use a hybrid word/sub-word recognizer to detect OOV words occurring in English talks and describe them as sequences of sub-words.We detected about one third of all OOV words, and were able to recover the correct spelling for 26.2% of all detections by using a phoneme-to-grapheme (P2G) conversion trained on the recognition dictionary. By omitting detections
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA102%2F08%2F0707" target="_blank" >GA102/08/0707: Rozpoznávání mluvené řeči v reálných podmínkách</a><br>
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proc. Text, Speech and Dialogue 2010
ISBN
978-3-642-15759-2
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
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Název nakladatele
Springer Verlag
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
6. 9. 2010
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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