Publications
Detail of publication
Citation
p. 449-454, Moscow State Linguistic University, Moscow, 2007. : Language Model Adaptation Using Different Class-Based Models . SPECOM 2007 Proceedings,
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Abstract
The paper presents two different methods for adding previously unseen words into the LVCSR system. Both methods employ the principles of class-based language modeling – the first one exploits task-specific knowledge, the second one is fully automatic and task independent. Extensive test of the proposed language models in the real-time ASR system showed that both techniques provide a consistent improvement in terms of recognition accuracy. Moreover, the contributions from both methods appear to be additive, yielding a total improvement of up to 2 % absolute.
Detail of publication
Title: | Language Model Adaptation Using Different Class-Based Models |
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Author: | Pražák, A. ; Ircing, P. ; Müller, L. |
Language: | English |
Date of publication: | 15 Oct 2007 |
Year: | 2007 |
Type of publication: | Papers in proceedings of reviewed conferences |
Title of journal or book: | SPECOM 2007 Proceedings |
Page: | 449 - 454 |
ISBN: | 6-7452-0110-x |
Publisher: | Moscow State Linguistic University |
Address: | Moscow |
Date: | 15 Oct 2007 - 18 Oct 2007 |
Keywords
ASR, LVCSR, HMM, real-time, class-based language model, morphological tag
BibTeX
@INPROCEEDINGS{PrazakA_2007_LanguageModel, author = {Pra\v{z}\'{a}k, A. and Ircing, P. and M\"{u}ller, L.}, title = {Language Model Adaptation Using Different Class-Based Models}, year = {2007}, publisher = {Moscow State Linguistic University}, journal = {SPECOM 2007 Proceedings}, address = {Moscow}, pages = {449-454}, ISBN = {6-7452-0110-x}, url = {http://www.kky.zcu.cz/en/publications/PrazakA_2007_LanguageModel}, }