An Improved Wavelet-Based Speech Enhancement Method Using Adaptive Block Thresholding
An improved wavelet-based speech enhancement method using adaptive block thresholding is proposed. Adaptive block thresholding is introduced by G. Yu 1 to eliminate the musical noise artifacts, but the performance for unvoiced speech is not satisfactory. To solve this problem, a voiced/unvoiced decision is applied and a small block size is set for unvoiced speech. Furthermore, the thresholding is adjusted considering both the intrascale and interscale dependencies of wavelet coefficients. The experimental results show that the improved method can obtain better denoising performance than the method proposed by G. Yu, especially for unvoiced speech.
Bin Zhou Xiongwei Zhang Xia Zou
Institute of Communications Engineering PLA Univ.of Sci.& Tech.Nanjing 210007, P.R.China Institute of Command Automation PLA Univ.of Sci.& Tech.Nanjing 210007, P.R.China
国际会议
上海
英文
1-5
2010-10-20(万方平台首次上网日期,不代表论文的发表时间)