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Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR
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About Higuchi Takuya
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
About Ito Nobutaka
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
About Araki Shoko
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
About Yoshioka Takuya
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
About Delcroix Marc
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
About Nakatani Tomohiro
About NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto, Japan
Material：
About IEEE/ACM Transactions on Audio, Speech, and Language Processing
Volume： 25 Issue： 4 Page： 780-793 Publication year： 2017
JST Material Number： W0508B ISSN： 2329-9290 CODEN： ITASFA Document type： Article
Article type： 原著論文 Country of issue： United States (USA) Language： ENGLISH (EN)
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About model
About noise (signal)
About noise reduction
About beam forming
About speech recognition
About error rate
About robustness
About speech enhancement
About Sound
About parameter estimation
About mixed effect model
Semi thesaurus term：
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
About 混合モデル
About ステアリングベクトル
About 自動音声認識
About オンライン
About Gauss混合モデル
Category name(code) classified by JST.
About Pattern recognition
Keywords automatically extracted from the title.
About ノイズ
About ロバスト
About ASR
About 事前確率
About Gauss混合モデル
About オンライン
About ビームフォーマ
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