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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/10119/9981
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| タイトル: | A DOA estimation algorithm based on equalization-cancellation theory |
| 著者: | Chau, Duc Thanh
Li, Junfeng
Akagi, Masato |
| キーワード: | DOA Estimation
Beamformer-Based Localization
Equalization-Cancellation Model |
| 発行日: | 2010-09-30 |
| 出版者: | International Speech Communication Association |
| 誌名: | Proceedings of INTERSPEECH 2010 |
| 開始ページ: | 2770 |
| 終了ページ: | 2773 |
| 抄録: | Direction of arrival (DOA) estimation plays an important role in multi-channel (binaural) speech enhancement systems and auditory humanoid robots. A number of localization methods have been presented, however, most of them require a large array of microphones, or cannot adapt to some special conditions, e.g., humanoid robot with the effect of head-related transfer function (HRTF). In this paper, we propose a two-microphone DOA estimation algorithm, namely EC-Beam, which applies equalization-cancellation (EC) model to DOA estimation through beamformer-based technique. Specifically, the EC model is integrated into beamforming to remove the signal components from a given direction and yield the energy of the remaining signals from other directions. Through searching several DOA candidates in the space, the estimation of DOA is finally determined as the direction at which the energy of the remaining signal reaches the minimum. Interpolation method is further exploited in EC-Beam to estimate non-beamformed directions. Experimental results showed that the EC-Beam with only two microphones is able to estimate accurately the DOA of target signal in various noise conditions, and well adapted to binaural hearing systems. |
| Rights: | Copyright (C) 2010 International Speech Communication Association. Duc Thanh Chau, Junfeng Li, Masato Akagi, Proceedings of INTERSPEECH 2010, pp.2770-2773. |
| URI: | http://hdl.handle.net/10119/9981 |
| 資料タイプ: | publisher |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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| IS2010_Duc.pdf | | 473Kb | Adobe PDF | 見る/開く |
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