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J-GLOBAL ID：201502206579297821   Reference number：15A0993408

Aspects of Feature Extraction in DNN Acoustic Models

DNN音響モデルにおける特徴量抽出の諸相

Author (4)： YOSHIOKA TAKUYA (NTT コミュニケーション科学基礎研) ,  DELCROIX Marc (NTT コミュニケーション科学基礎研) ,  FUJIMOTO MASAKIYO (NTT コミュニケーション科学基礎研) ,  NAKATANI TOMOHIRO (NTT コミュニケーション科学基礎研)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 115  Issue： 146(SP2015 36-49)  Page： 61-65  Publication year： Jul. 09, 2015 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *neural network (biomodel) ,...
Semi thesaurus term： *acoustic model

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JST classification (2)： Brain and nervous system models  (EL02050C) ,  Pattern recognition  (JE07000S)

Reference (52)：

• A. Mohamed, G.E. Dahl, and G. Hinton, “Acoustic modeling using deep belief networks,“ IEEE Trans. Audio, Speech, Language Process., vol.20, no.1, pp.14-22, 2012.
• G.E. Dahl, D. Yu, L. Deng, and A. Acero, “Contextdependent pre-trained deep neural networks for largevocabulary speech recognition,“ IEEE Trans. Audio, Speech, Language Process., vol.20, no.1, pp.30-42, 2012.
• F. Seide, G. Li, X. Chen, and D. Yu, “Feature engineering in context-dependent deep neural networks for conversational speech transcription,“ Proc. Workshop. Automat. Speech Recognition, Understanding, pp.24-29, 2011.
• T.N. Sainath, B. Kingsbury, H. Soltau, and B. Ramabhadran, “Optimization techniques to improve training speed of deep neural networks for large speech tasks,“ IEEE Trans. Audio, Speech, Language Process., vol.20, no.7, pp.2149-2158, 2013.
• P. Swietojanski, A. Ghoshal, and S. Renals, “Hybrid acoustic models for distant multichannel large vocabulary speech recognition,“ Proc. Workshop. Automat. Speech Recognition, Understanding, pp.285-290, 2013.

Terms in the title (2)： 音響モデル ,  特徴量抽出