Blind dereverberation algorithm for speech signals based on multi-channel linear prediction
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- Delcroix Marc
- NTT Communication Science Laboratories, NTT Corporation Graduate School of Information Science and Technology, Hokkaido University
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- Hikichi Takafumi
- NTT Communication Science Laboratories, NTT Corporation
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- Miyoshi Masato
- NTT Communication Science Laboratories, NTT Corporation Graduate School of Information Science and Technology, Hokkaido University
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説明
This paper proposes an algorithm for the blind dereverberation of speech signals based on multi-channel linear prediction. Traditional dereverberation methods usually perform well when the input signal is white noise. However, when dealing with colored signals generated by an autoregressive process such as speech, the generating autoregressive process is deconvolved causing excessive whitening of the signal. We overcome this whitening problem by estimating the generating autoregressive process based on multichannel linear prediction and applying this estimated process to the whitened signal so that the input signal can be recovered. Simulation results show the good potential of the proposed method.
収録刊行物
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- Acoustical Science and Technology
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Acoustical Science and Technology 26 (5), 432-439, 2005
一般社団法人 日本音響学会
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詳細情報 詳細情報について
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- CRID
- 1390001205088990848
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- NII論文ID
- 110003143588
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- NII書誌ID
- AA11501808
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL書誌ID
- 7409800
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- NDL-Digital
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可