Presentation 2000/6/16
SP2000-26 Optimization of language model weight and insertion penalty for word graph generation
Toshinori SAIIN, Masaharu KATOH, Akinori ITO, Masaki KOHDA,
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Abstract(in English) Language model weight and insertion penalty greatly affects the recognition performance of LVCSR system. In the multi-pass LVCSR system that uses word graph as an intermediate data structure, these decoder parameters should be optimized in order to generate a good word graph. In this paper, a new method to optimize these parameter is proposed. This method uses rescoring of the word graph using bigram LM instead of generating many word graphs for each parameter setting. As the rescoring is much faster than the re-generation of a word graph, the optimization time of the proposed method is much shorter than that of re-generation based one. However, as the method minimizes the first-pass WER, improvement of the second-pass WER is not garanteed. From the experimental result for the newspaper task, it is found that the proposed method doesn't only improve the first-pass WER but also improves the second-pass WER in most case.
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Keyword(in English) LVCSR / word graph / rescoring / language model weight / insertion penalty
Paper # SP2000-26
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Committee SP
Conference Date 2000/6/16(1days)
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Language JPN
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Title (in English) SP2000-26 Optimization of language model weight and insertion penalty for word graph generation
Sub Title (in English)
Keyword(1) LVCSR
Keyword(2) word graph
Keyword(3) rescoring
Keyword(4) language model weight
Keyword(5) insertion penalty
1st Author's Name Toshinori SAIIN
1st Author's Affiliation Faculty of Engineering, Yamagata University()
2nd Author's Name Masaharu KATOH
2nd Author's Affiliation Faculty of Engineering, Yamagata University
3rd Author's Name Akinori ITO
3rd Author's Affiliation Faculty of Engineering, Yamagata University
4th Author's Name Masaki KOHDA
4th Author's Affiliation Faculty of Engineering, Yamagata University
Date 2000/6/16
Paper # SP2000-26
Volume (vol) vol.100
Number (no) 137
Page pp.pp.-
#Pages 8
Date of Issue