Presentation 1996/12/13
A Study on Improvement of HM-Nets using Decision Tree-based Successive State Splitting
Takaaki HORI, Masaharu KATOH, Akinori ITO, Masaki KOHDA,
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Abstract(in English) The important aspects of context-dependent acoustic modeling using a limited training data set for robust speech reognition are how to tie the model parameters and how to handle the unknown contexts. From this point of view, we proposed the Decision Tree-based Successive State Splitting algorithm (DT-SSS), and showed HM-Nets generated with this algorithm had high accuracy and enabled to represent any contexts. But this algorithm was not taken temporal splits into consideration, and therefore did not make the best use of the strong point of SSS. In this paper, we incorporate temporal splits into DT-SSS and generate HM-Nets from various initial models. In continuous phoneme reognition experiments, we show the effects of these improvements.
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Keyword(in English) speech recognition / hidden Markov model / context-dependent model / hidden Markov network phonetic decision tree
Paper # NLC96-49,SP96-80
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Conference Date 1996/12/13(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Improvement of HM-Nets using Decision Tree-based Successive State Splitting
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) hidden Markov model
Keyword(3) context-dependent model
Keyword(4) hidden Markov network phonetic decision tree
1st Author's Name Takaaki HORI
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 1996/12/13
Paper # NLC96-49,SP96-80
Volume (vol) vol.96
Number (no) 420
Page pp.pp.-
#Pages 8
Date of Issue