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J-GLOBAL ID:201502214567803090   Reference number:15A0948730

Automatic Lecture Transcription Based on Discriminative Data Selection for Lightly Supervised Acoustic Model Training

軽度教師あり音響モデル学習のための弁別データ選択に基づいた自動講義録
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Material:
Volume: E98.D  Issue:Page: 1545-1552 (J-STAGE)  Publication year: 2015 
JST Material Number: U0469A  ISSN: 1745-1361  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Artificial intelligence  ,  Pattern recognition 
Reference (29):
  • [1] K. Maekawa, “Corpus of Spontaneous Japanese: Its Design and Evaluation,” Proc. ISCA & IEEE Workshop on Spontaneous Speech Processing and Recognition, pp.7-12, 2003.
  • [2] H. Nanjo and T. Kawahara, “Language Model and Speaking Rate Adaptation for Spontaneous Presentation Speech Recognition,” IEEE-TSAP, vol.12, no.4, pp.391-400, 2004.
  • [3] I. Trancoso, R. Nunes, L. Neves, C. Viana, H. Moniz, D. Caseiro, and A.I. Mata, “Recognition of Classroom Lectures in European Portuguese,” Proc. INTERSPEECH, pp.281-284, 2006.
  • [4] J. Glass, T.J. Hazen, S. Cyphers, I. Malioutov, D. Huynh, and R. Barzilay, “Recent Progress in the MIT Spoken Lecture Processing Project,” Proc. INTERSPEECH, pp.2553-2556, 2007.
  • [5] H. Yamazaki, K. Iwano, K. Shinoda, S. Furui, and H. Yokota, “Dynamic Language Model Adaptation Using Presentation Slides for Lecture Speech Recognition,” Proc. INTERSPEECH, pp.2349-2352, 2007.
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