Multi-Space Probability Distribution HMM(<特集>Special Issue on the 2000 IEICE Excellent Paper Award)
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概要
- 論文の詳細を見る
This paper proposes a new kind of hidden Markov model (HMM) based on multi-space probability distribution, and derives a parameter estimation algorithm for the extended HMM. HMMs are widely used statistical models for characterizing sequences of speech spectra, and have been successfully applied to speech recognition systems. HMMs are categorized into discrete HMMs and continuous HMMs, which can model sequences of discrete symbols and continuous vectors, respectively. However, we cannot apply both the conventional discrete and continuous HMMs to observation sequences which consist of continuous values and discrete symbols: FO pattern modeling of speech is a good illustration. The proposed HMM includes discrete HMM and continuous HMM as special cases, and furthermore, can model sequences which consist of observation vectors with variable dimensionality and discrete symbols.
- 社団法人電子情報通信学会の論文
- 2002-03-01
著者
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TOKUDA Keiichi
Department of Computer Science and Engineering, Nagoya Institute of Technology
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Masuko T
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology:(present
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Masuko Takashi
近畿大学 薬学部細胞生物学
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Tachibana Makoto
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology:(present
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Masuko Takashi
Laboratory Of Cell Biology School Of Pharmaceutical Sciences Kinki University
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Masuko Takashi
Departments Of Molecular Biology Pharmaceutical Institute Tohoku University
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Masuko Takashi
Department Of Agricultural And Biological Chemistry College Of Bioresource Sciences Nihon University
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Tokuda K
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Tokuda Keiichi
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Masuko Takashi
Tokyo Inst. Technol. Yokohama‐shi Jpn
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MASUKO Takashi
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
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KOBAYASHI Takao
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
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MIYAZAKI Noboru
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
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Kobayashi Takao
Tokyo Inst. Technol. Yokohama‐shi Jpn
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Tokuda Keiichi
The Department Of Computer Science Nagoya Institute Of Technology
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Miyazaki Noboru
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology:(present
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Tachibana Makoto
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Masuko Takashi
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Kobayashi T
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Kobayashi Takao
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Matsuyama Taiji
Department Of Pharmacy Shizuoka Kousei Hospital
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Tokuda Keiichi
Department Of Computer Science Naogya Institute Of Technology
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Kobayashi Takao
Department Of Obstetrics And Gynecology Hamamatsu University School Of Medicine
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