Art

J-GLOBAL ID：200902296974096305   Reference number：08A0224621

Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition

クラス共分散の一般化平均を用いた線形判別分析と音声認識へのその応用

Author (4)： SAKAI Makoto (DENSO CORP., Nisshin-shi, JPN) ,  SAKAI Makoto (Nagoya Univ., Nagoya-shi, JPN) ,  KITAOKA Norihide (Nagoya Univ., Nagoya-shi, JPN) ,  NAKAGAWA Seiichi (Toyohashi Univ. Technol., Toyohashi-shi, JPN)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E91-D  Issue： 3  Page： 478-487  Publication year： Mar. 01, 2008 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *speech recognition ,  Discriminant Analysis ,  feature extraction ,  higher dimension ,  dimensional reduction ,  hidden Markov model ,  signal processing
Semi thesaurus term： 線形判別分析

JST classification (1)： Pattern recognition  (JE07000S)

Reference (23)：

• NAKAGAWA, S. Evaluation of segmental unit input HMM. Proc. ICASSP, 1996. 1996, 439-442
• OSTENDORF, M. A stochastic segment model for phoneme-based continuous speech recognition. IEEE Trans. Acoust. Speech Signal Process. 1989, 37, 12, 1857-1869
• HAEB-UMBACH, R. Linear discriminant analysis for improved large vocabulary continuous speech recognition. Proc. ICASSP, 1992. 1992, 13-16
• GISH, H. Parametric trajectory models for speech recognition. Proc. ICSLP, 1996. 1996, 466-469
• TOKUDA, K. Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features. Proc. Eurospeech 2003. 2003, 865-868

Terms in the title (7)： クラス ,  共分散 ,  一般化 ,  平均 ,  線形判別分析 ,  音声認識 ,  応用