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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/10119/9984
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| タイトル: | Psychoacoustically-motivated adaptive β-order generalized spectral subtraction based on data-driven optimization |
| 著者: | Li, Junfeng
Jiang, Hui
Akagi, Masato |
| キーワード: | Psychoacoustically-motivated adaptive β-order GSS
Data-driven optimization
Importance function
Speech intelligibility
Sigmoid function |
| 発行日: | 2008-09-23 |
| 出版者: | International Speech Communication Association |
| 誌名: | Proceedings of INTERSPEECH 2008 |
| 開始ページ: | 171 |
| 終了ページ: | 174 |
| 抄録: | To mitigate the performance limitations caused by the constant spectral order β in the traditional spectral subtraction methods, we previously presented an adaptive β-order generalizedspectral subtraction (GSS) in which the spectral order β is updated in a heuristic way [10]. In this paper, we propose a psychoacoustically-motivated adaptive β-order GSS, by considering that different frequency bands contribute different amounts to speech intelligibility (i.e., the bandimportancefunction). Specifically, in this proposed adaptiveβ-order GSS, the tendency of spectral order β to change with the input local signal-to-noise ratio (SNR) is quantitatively approximated by a sigmoid function, which is derived through a data-driven optimization procedure by minimizing the intelligibility-weighted distance between the desired speech spectrum and its estimate. The inherent parameters of the sigmoid function are further optimized with the data-driven optimizationprocedure. Experimental results indicate that theproposed psychoacoustically-motivated adaptive β-order GSS yields great improvements over the traditional spectral subtraction methods with the intelligibility-weighted measures. |
| Rights: | Copyright (C) 2008 International Speech Communication Association. Junfeng Li, Hui Jiang, Masato Akagi, Proceedings of INTERSPEECH 2008, pp.171-174. |
| URI: | http://hdl.handle.net/10119/9984 |
| 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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記述 |
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| IS2008_Li.pdf | | 1187Kb | Adobe PDF | 見る/開く |
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