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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/10119/4909
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| タイトル: | Multi-channel noise reduction in noisy environments |
| 著者: | Li, Junfeng
Akagi, Masato
Suzuki, Yoiti |
| キーワード: | Multi-channel noise reduction
beamforming technique
localized noise
non-localized noise
speech recognition |
| 発行日: | 2006 |
| 出版者: | Springer |
| 誌名: | Lecture Notes in Computer Science |
| 巻: | 4274 |
| 開始ページ: | 258 |
| 終了ページ: | 269 |
| DOI: | 10.1007/11939993_30 |
| 抄録: | Multi-channel noise reduction has been widely researched to reduce acoustic noise signals and to improve the performance of many speech applications in noisy environments. In this paper, we first introduce the state-of-the-art multi-channel noise reduction methods, especially beamforming based methods, and discuss their performance limitations. Subsequently, we present a multi-channel noise reduction system we are developing that consists of localized noise suppression by microphone array and non-localized noise suppression by post-filtering. Experimental results are also presented to show the benefits of our developed noise reduction system with respect to the traditional algorithms in terms of speech recognition rate. Some suggestions are finally presented for the further research. |
| Rights: | This is the author-created version of Springer, Junfeng Li, Masato Akagi and Yoiti Suzuki, Lecture Notes in Computer Science, 4274, 2006, 258-269. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/11939993_30 |
| URI: | http://hdl.handle.net/10119/4909 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| LecNoteAI2006_Li.pdf | | 270Kb | Adobe PDF | 見る/開く |
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