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Empirical mode decomposition based reconstruction of speech signal in noisy environment

机译:噪声环境下基于经验模式分解的语音信号重构

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摘要

A novel technique for speech signal reconstruction using Empirical Mode Decomposition (EMD) of speech signal in noisy condition is described in this paper. EMD is applied for finding the glottal source signal of speech signals. After getting the source information, vocal tract filter response is determined and the original speech signal is reconstructed with the help of EMD with and without prior knowledge of vocal tract filter responses. The experimental result derived establishes the effectiveness of the proposed method.
机译:本文介绍了一种在噪声条件下利用语音信号的经验模式分解(EMD)重建语音信号的新技术。 EMD用于查找语音信号的声门源信号。在获得源信息之后,确定声道滤波器的响应,并在有或没有声道滤波器响应的先验知识的情况下,借助EMD重建原始语音信号。得出的实验结果证明了该方法的有效性。

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