Sagayama Shigeki | ATR Interpreting Telephony Research Laboratories
スポンサーリンク
概要
関連著者
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Sagayama Shigeki
ATR Interpreting Telephony Research Laboratories
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Sagayama S
Atr Interpreting Telephony Research Lab.
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Kita Kenji
ATR Interpreting Telephony Research Laboratories
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Hattori Hiroaki
ATR Interpreting Telephony Research Laboratories
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Hattori Hiroaki
京都大学 医学研究科加齢医学
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Kita Kenji
Faculty of Engineering, Tokushima University
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Morimoto Tsuyoshi
ATR Interpreting Telecommunications Research Laboratories
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Sagayama S
Ntt Human Interface Lab. Yokosuka‐shi Jpn
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Sagayama Shigeki
Ntt Human Interface Laboratories
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Abe Masanobu
ATR Interpreting Telephony Research Laboratories
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Takami Jun-ichi
ATR Interpreting Telephony Research Laboratories
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Kai Atsuhiko
Department of Information and Computer Sciences,Toyohashi University of Technology
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Kita K
Faculty Of Engineering Tokushima University
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Kita Kenji
Faculty Of Engineering Tokushima University
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Nakamura Satoshi
Information System Research and Development Center, Sharp Corporation
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Shikano Kiyohiro
NTT Human Interface Laboratories
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Kai Atsuhiko
Department Of Information And Computer Sciences Toyohashi University Of Technology
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Morimoto T
Atr Interpreting Telecommunications Res. Lab. Kyoto Jpn
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Takahashi Satoshi
NTT Human Interface Laboratories
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Hattori H
Atr Interpreting Telephony Research Laboratories
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Kikuchi H
Tohoku Univ. Miyagi Jpn
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Rainton David
Atr Interpreting Telephony Research Laboratories
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Matsunaga Sho-ichi
NTT Human Interface Laboratories
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Takami J
Kumamoto National Hospital Kumamoto
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Takami Jun-ichi
Atr Interpreting Telecommunications Research Laboratories
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Nagai Akito
ATR Interpreting Telephony Research Laboratories
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Kikuchi Hideaki
School of Science and Engineering, Waseda University
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Nagai A
Univ. Tokyo Tokyo Jpn
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Nakamura Satoshi
Information System Research And Development Center Sharp Corporation
著作論文
- A voice conversion based on phoneme segment mapping
- LR Parsing with a Category Reachability Test Applied to Speech Recognition (Special Issue on Speech and Discourse Processing in Dialogue Systems)
- A pairwise discriminant approach using artificial neural networks for continuous speech recognition
- Speaker Weighted Training of HMM Using Multiple Reference Speakers
- Speaker Adaptation Based on Vector Field Smoothing
- Minimum error classification training of HMMs : Implementation details and experimental results
- Isolated Word Recognition Using Pitch Pattern Information
- Three Different LR Parsing Algorithms for Phoneme-Context-Dependent HMM-Based Continuous Speech Recognition (Special Issue on Speech and Discourse Processing in Dialogue Systems)