Wavelet-based speech enhancement using time-adapted noise estimation

Sheau Fang Lei, Ying Kai Tung

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)


Spectral subtraction is commonly used for speech enhancement in a single channel system because of the simplicity of its implementation. However, this algorithm introduces perceptually musical noise while suppressing the background noise. We propose a wavelet-based approach in this paper for suppressing the background noise for speech enhancement in a single channel system. The wavelet packet transform, which emulates the human auditory system, is used to decompose the noisy signal into critical bands. Wavelet thresholding is then temporally adjusted with the noise power by time-adapted noise estimation. The proposed algorithm can efficiently suppress the noise while reducing speech distortion. Experimental results, including several objective measurements, show that the proposed wavelet-based algorithm outperforms spectral subtraction and other wavelet-based denoising approaches for speech enhancement for non-stationary noise environments.

頁(從 - 到)2555-2563
期刊IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
出版狀態Published - 2008 9月

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 電腦繪圖與電腦輔助設計
  • 電氣與電子工程
  • 應用數學


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