Art

J-GLOBAL ID：200902214155896193   Reference number：06A0592496

Detection of Overlapping Speech in Meetings Using Support Vector Machines and Support Vector Regression

サポートベクトルマシンとサポートベクトル回帰を使用した会議における重なった音声の検出

Author (4)： YAMAMOTO Kiyoshi (Univ. Tsukuba, Tsukuba-shi, JPN) ,  ASANO Futoshi (AIST, Tsukuba-shi, JPN) ,  YAMADA Takeshi (Univ. Tsukuba, Tsukuba-shi, JPN) ,  KITAWAKI Nobuhiko (Univ. Tsukuba, Tsukuba-shi, JPN)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Fundam Electron Commun Comput Sci (Inst Electron Inf Commun Eng))
Volume： E89-A  Issue： 8  Page： 2158-2165  Publication year： Aug. 01, 2006 
JST Material Number： F0699C  ISSN： 0916-8508  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *speech recognition ,...
Semi thesaurus term： support vector regression ,...

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JST classification (2)： Pattern recognition  (JE07000S) ,  Acoustic signal processing  (BB03050C)

Reference (6)：

• CANTONI, A. Properties of the eigenvectors of persymmetric matrices with applications to communication theory. IEEE Trans. Commun. 1976, 24, 8, 804-809
• WAX, M. Detection of signals by information theoretic criteria. IEEE Trans. Acoust. Speech Signal Process. 1985, 33, 2, 387-392
• ROY, R. ESPRIT-Estimation of signal parameters via rotational invariance techniques. IEEE Trans. Acoust. Speech Signal Process. 1989, 37, 7, 984-995
• SCHOLKOPF, B. Advances in Kernel Methods : Support Vector Learning. 1999
• CHRISTIANINI, N. An Introduction to Support Vector Machines and other kernel-based learning methods. 2000

Terms in the title (4)： サポートベクトルマシン ,  サポートベクトル回帰 ,  会議 ,  音声