11th Joint International Conference on Information Sciences

Study on Algorithms of Keyword Confusion Network Generation

Authors
Lei Zhang 0, Meimei Jia, Lili Guo
Corresponding Author
Lei Zhang
0Harbin Engineering University
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.43How to use a DOI?
Keywords
keyword spotting, confusion network, speech recognition
Abstract
Keyword spotting based on large vocabulary continuous speech recognition (LVCSR) is the main researching direction of keyword spotting field. Lattice as the middle result of LVCSR, is often used in this system. But because of its big size, the performance is not efficient as we expect to be. In this paper, lattice was optimized by confusion network (CN) to achieve higher recall rate and lower error rate. And the study on algorithms of keyword confusion network generation was expanded. In the system, the proposed algorithm increased the recall rate of confusion network to 87.11%, while it was 65.46% with N-best.
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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lei Zhang
AU  - Meimei Jia
AU  - Lili Guo
PY  - 2008/12
DA  - 2008/12
TI  - Study on Algorithms of Keyword Confusion Network Generation
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.43
DO  - https://doi.org/10.2991/jcis.2008.43
ID  - Zhang2008/12
ER  -