Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference

• CHOI Jae-Hun

  School of Electronic Engineering, Hanyang University

• CHANG Joon-Hyuk

  School of Electronic Engineering, Hanyang University

• KIM Dong Kook

  School of Electronic Engineering, Chonnam National University

• KIM Suhyun

  Image Media Research Center, KIST

抄録

In this paper, we propose a spectral difference approach for noise power estimation in speech enhancement. The noise power estimate is given by recursively averaging past spectral power values using a smoothing parameter based on the current observation. The smoothing parameter in time and frequency is adjusted by the spectral difference between consecutive frames that can efficiently characterize noise variation. Specifically, we propose an effective technique based on a sigmoid-type function in order to adaptively determine the smoothing parameter based on the spectral difference. Compared to a conventional method, the proposed noise estimate is computationally efficient and able to effectively follow noise changes under various noise conditions.

収録刊行物

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94-A (10), 2031-2034, 2011

  一般社団法人 電子情報通信学会

キーワード

• noise estimation
• spectral difference
• sigmoid

詳細情報

• CRID: 1390001206311561472
• NII論文ID: 10030191314
• NII書誌ID: AA10826239
• DOI: 10.1587/transfun.e94.a.2031
• ISSN: 17451337
• ISSN: 09168508
• Web Site: http://www.jstage.jst.go.jp/article/transfun/E94.A/10/E94.A_10_2031/_pdf
• 本文言語コード: en
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