文章摘要
宋倩倩,于凤芹.基于Hilbert-Huang变换和听觉掩蔽的语音增强算法[J].声学技术,2009,(3):280~283
基于Hilbert-Huang变换和听觉掩蔽的语音增强算法
Speech enhancement based on Hilbert-Huang tansform and human auditory masking
投稿时间:2008-07-17  修订日期:2008-10-21
DOI:
中文关键词: Hilbert-Huang变换  经验模态分解  固有模态函数  听觉掩蔽  语音增强
英文关键词: HHT  empirical mode decomposition  intrinsic mode function  human auditory masking  speech enhancement
基金项目:
作者单位
宋倩倩 江南大学通信与控制工程学院, 江苏无锡, 214122 
于凤芹 江南大学通信与控制工程学院, 江苏无锡, 214122 
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中文摘要:
      Hilbert-Huang变换是一种新型的具有自适应性的时频分析方法,分析了HHT算法的原理,提出了一种基于HHT和听觉掩蔽的语音增强算法,首先将语音信号进行EMD分解得到各阶IMF分量,然后对高频IMF分量进行听觉掩蔽处理,最后将处理后的分量与剩余分量叠加得到重构信号。仿真结果表明所提出的算法降低了语音失真测度值,提高了语音信号的信噪比、清晰度及可懂度,并与听觉掩蔽算法和谱减法进行了比较,显示了该算法的优越性。
英文摘要:
      HHT is a new and self-adaptable method for time-frequency analysis.The theory of HHT is studied and a speech enhancement method based on HHT and human auditory masking is brought forward.First the signal is decomposed into IMFs with the method of EMD,then the high-frequency IMFs is processed with the human auditory masking,finally the signal is reconstructed by adding the treated IMFs with the residual IMFs.Simulation experiments show that it can reduce the measured value of speech distortion and improve the SNR,speech articulation and intelligibility.The results display the superiority of this method over the human auditory masking and the spectral subtraction method.
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