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            | このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/9181 |  
 
| タイトル: | Speech Enhancement based on Noise Eigenspace Projection |  | 著者: | Ying, Dongwen Unoki, Masashi
 Lu, Xugang
 Dang, Jianwu
 |  | キーワード: | speech enhancement noise eigenspace
 dimension reduction (DR)
 Karhunen-Loeve transform (KLT)
 |  | 発行日: | 2009-05-01 |  | 出版者: | 電子情報通信学会 |  | 誌名: | IEICE Transactions on Information and Systems |  | 巻: | E92-D |  | 号: | 5 |  | 開始ページ: | 1137 |  | 終了ページ: | 1145 |  | DOI: | 10.1587/transinf.E92.D.1137 |  | 抄録: | How to reduce noise with less speech distortion is a challenging issue for speech enhancement. We propose a novel approach for reducing noise with the cost of less speech distortion. A noise signal can generally be considered to consist of two components, a "white-like" component with a uniform energy distribution and a "color" component with a concentrated energy distribution in some frequency bands. An approach based on noise eigenspace projections is proposed to pack the color component into a subspace, named "noise subspace". This subspace is then removed from the eigenspace to reduce the color component. For the white-like component, a conventional enhancement algorithm is adopted as a complementary processor. We tested our algorithm on a speech enhancement task using speech data from the Texas Instruments and Massachusetts Institute of Technology (TIMIT) dataset and noise data from NOISEX-92. The experimental results show that the proposed algorithm efficiently reduces noise with little speech distortion. Objective and subjective evaluations confirmed that the proposed algorithm outperformed conventional enhancement algorithms. |  | Rights: | Copyright (C)2009 IEICE. Dongwen Ying, Masashi Unoki, Xugang Lu, and Jianwu Dang, IEICE Transactions on Information and Systems, E92-D(5), 2009, 1137-1145. http://www.ieice.org/jpn/trans_online/ |  | URI: | http://hdl.handle.net/10119/9181 |  | 資料タイプ: | publisher |  | 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles) 
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