Speech Enhancement by Overweighting Gain with Nonlinear Structure in Wavelet Packet Transform(Fundamental Theories for Communications)

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概要

• 論文の詳細を見る

• A speech enhancement method is proposed that can be implemented efficiently due to its use of wavelet packet transform. The proposed method uses a modified spectral subtraction with noise estimation by a least-squares line method and with an overweighting gain per subband with nonlinear structure, where the overweighting gain is used for suppressing the residue of musical noise and the subband is used for applying the weighted values according to the change of signals. The enhanced speech by our method has the following properties: 1) the speech intelligibility can be assured reliably; 2) the musical noise can be reduced efficiently. Various assessments confirmed that the performance of the proposed method was better than that of the compared methods in various noise-level conditions. Especially, the proposed method showed good results even at low SNR.

• 社団法人電子情報通信学会の論文
• 2007-08-01

著者

• Yang Sung-il

  School Of Electrical And Computer Engineering Hanyang University

• Jung Sung-il

  School Of Electrical And Computer Engineering Hanyang University

• KWON Younghun

  Department of Physics, Hanyang University

• Kwon Younghun

  Department Of Physics Hanyang University

関連論文

• Speech Enhancement by Overweighting Gain with Nonlinear Structure in Wavelet Packet Transform(Fundamental Theories for Communications)
• Adaptive Noise Estimation Using Least-Squares Line in Wavelet Packet Transform Domain(Speech and Hearing)
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