Sagayama Shigeki | Ntt Human Interface Laboratories

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概要

• Sagayama Shigekiの詳細を見る
• 同名の論文著者
• Ntt Human Interface Laboratoriesの論文著者

関連著者

• Sagayama Shigeki

  Ntt Human Interface Laboratories

• Matsunaga Shoichi

  Atr Interpreting Telecommunications Research Laboratories

• Kita Kenji

  Faculty of Engineering, Tokushima University

• Morimoto Tsuyoshi

  ATR Interpreting Telecommunications Research Laboratories

• Sagayama S

  Atr Interpreting Telephony Research Lab.

• Kita K

  Faculty Of Engineering Tokushima University

• Kita Kenji

  Faculty Of Engineering Tokushima University

• Morimoto T

  Atr Interpreting Telecommunications Res. Lab. Kyoto Jpn

• Sagayama Shigeki

  ATR Interpreting Telephony Research Laboratories

• Ohkura Kazumi

  Information & Communication systems Research Center, SANYO Electric Co., Ltd.

• Yano Yaneo

  Faculty of Engineering, Tokushima University

• Kita Kenji

  ATR Interpreting Telephony Research Laboratories

• Sagayama Shigeki

  Ntt Human Interface Labs

• SINGER Harald

  ATR音声翻訳通信研究所

• Yano Yaneo

  Faculty Of Engineering Tokushima University

• Singer H

  Atr音声翻訳通信研

• Ohkura Kazumi

  Information &amp Communication Systems Research Center Sanyo Electric Co. Ltd.

• Singer Harald

  Atr Interpreting Telecommunications Research Laabs.

• Yamaguchi Kouichi

  SHARP Corporation, Information Technology Research Labs.

• Matsunaga Shoichi

  ATR Interpreting Telecommunications Research Labs

• Kosaka Tetsuo

  ATR Interpreting Telecommunications Research Labs

• Matsunaga S

  Ntt Corp. Yokosuka‐shi Jpn

• Takami Jun-ichi

  Atr Interpreting Telecommunications Research Laboratories

• Miyazawa Yasunaga

  ATR Interpreting Telecommunications Research Laboratories

• Isotani Ryosuke

  ATR Interpreting Telecommunications Research Laboratories

• Yamaguchi Kouichi

  Sharp Corporation Information Technology Research Labs.

• TAKAHASHI Jun-ichi

  NTT System Electronics Laboratories

• Kita Kenji

  Faculty Of Engineering The University Of Tokushima

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著作論文

• Spoken Sentence Recognition Based on HMM-LR with Hybrid Language Modeling (Special Issue on Natural Language Processing and Understanding)
• LR Parsing with a Category Reachability Test Applied to Speech Recognition (Special Issue on Speech and Discourse Processing in Dialogue Systems)
• Speaker-Consistent Parsing for Speaker-Independent Continuous Speech Recognition
• Automatic Determination of the Number of Mixture Components for Continuous HMMs Based on a Uniform Variance Criterion
• Unsupervised Speaker Adaptation Using All-Phoneme Ergodic Hidden Markov Network
• Speech Recognition Using Function-Word N-Grams and Content-Word N-Grams
• Discriminative Training Based on Minimum Classification Error for a Small Amount of Data Enhanced by Vector-Field-Smoothed Bayesian Learning

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