Presentation | 1996/12/13 Acoustic Model Generation Using State Clustering by Infomation Criterion Koichi SHINODA, Takao WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, context-dependent subword units have been often employed for large-vocabulary speech recognition systems using HMMs. Since the amount of training data available is usually not large enough to estimate the parameters of all the units with sufficient accuracy, most of these systems use clustering methods to reduce the degree of freedom. However, none of these clustering methods have given a stop criterion of the clustering. In this paper, we propose one clustering method which use MDL criterion as the stop criterion. The cvaluation experiment proved that the proposed method achieved as high recognition accuracy as conventional heuristic methods with less computational amount. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / Hidden Markov Model / recognition unit / information criteria / Minimum Descritption Length Principle |
Paper # | NLC96-48,SP96-79 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1996/12/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Acoustic Model Generation Using State Clustering by Infomation Criterion |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | Hidden Markov Model |
Keyword(3) | recognition unit |
Keyword(4) | information criteria |
Keyword(5) | Minimum Descritption Length Principle |
1st Author's Name | Koichi SHINODA |
1st Author's Affiliation | NEC Information Technology Research Laboratories() |
2nd Author's Name | Takao WATANABE |
2nd Author's Affiliation | NEC Information Technology Research Laboratories |
Date | 1996/12/13 |
Paper # | NLC96-48,SP96-79 |
Volume (vol) | vol.96 |
Number (no) | 420 |
Page | pp.pp.- |
#Pages | 7 |
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