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Detail of publication
Citation
: Language Model Adaptation Using Different Class-Based Models . SPECOM 2007 Proceedings, p. 449-454, Moscow State Linguistic University, Moscow, 2007.
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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 |
|---|---|
| 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},
}


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