Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F08%3A00500705" target="_blank" >RIV/49777513:23520/08:00500705 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Efficient Combination of N-gram Language Models and Recognition Grammars in Real-Time LVCSR Decoder
Original language description
The paper presents a method for incorporation of regular grammars into n-gram language models. Such composite model then benefits from both language modeling formalisms - a grammar yields robust probability estimates for well-defined phrases with fixed structure whereas the n-gram provides better coverage of casual speech. Moreover, the grammar allows adding new words to the phrase pattern while taking advantage of the existing structural (context) information. The proposed method for grammar incorporation allows the use of combined models in our in-house real-time decoder which is designed to work only with standard n-gram language model. The performance of the combined model was tested in the dictation task where a simple grammar was designed for date entries. A statistically significant improvement of WER was achieved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2C06020" target="_blank" >2C06020: Elimination of the language barriers faced by the handicapped watchers of the Czech Television</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference on Signal Processing Proceedings
ISBN
978-1-4244-2178-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Beijing
Event location
Peking, Čína
Event date
Oct 29, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000270665400144