Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain
作者： Li-Ran Shen , Xue-Yao Li , Qing-Bo Yin , Hui-Qiang Wang
DOI: 10.1007/11679363_88
关键词:
摘要: It is well known that the non-stationary noise most difficult to be removed in speech enhancement. In this paper a novel enhancement algorithm based on empirical mode decomposition (EMD) and then ICA proposed suppress noise. The noisy decomposed into components by EMD ICA-based vector space, are processed reconstructed, respectively, distinguishing between voiced unvoiced speech. There no requirements of whitening SNR pre-calculating. Experiments show method performs suppressing short-wave channel for
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