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运用MMSE先验信噪比估计进行语音增强

熊民权 曾以成 侯丽霞 杨红姣

计算机工程与应用2011,Vol.47Issue(27):152-154,157,4.
计算机工程与应用2011,Vol.47Issue(27):152-154,157,4.DOI:10.3778/j.issn.1002-8331.2011.27.041

运用MMSE先验信噪比估计进行语音增强

Speech enhancement using MMSE priori SNR estimation

熊民权 1曾以成 1侯丽霞 1杨红姣1

作者信息

  • 1. 湘潭大学光电工程系,湖南湘潭411105
  • 折叠

摘要

Abstract

To solve the problems that Decision-Directed(DD) a priori SNR estimation gets defects of delayed and non-casual a priori SNR estimation has shortcoming of non-real time.MMSE a priori SNR estimation is proposed in this paper.Based on the Gauss voice model assumption, it directly estimates SNR of noisy speech using the Minimum Mean Square Error (MMSE) methods.Simulation with the SNR.Itakura-Saito distortion measure,signal wave and spectrogram show that the proposed method is not only better than DD in the area of suppressing "musical noise" and preventing the voice distortion but also superior to non-causal a priori SNR estimation on real-time.

关键词

语音增强/先验信噪比/音乐噪声/Itakura-Saito失真测度

Key words

speech enhancement/ priori Signal to Noise Ratio (SNR)/ musical noise/ Itakura-Saito distortion measure

分类

信息技术与安全科学

引用本文复制引用

熊民权,曾以成,侯丽霞,杨红姣..运用MMSE先验信噪比估计进行语音增强[J].计算机工程与应用,2011,47(27):152-154,157,4.

基金项目

湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.08JJ5031) (the Natural Science Foundation of Hunan Province of China under Grant No.08JJ5031)

湖南省教育厅一般项目(No.08C865). (No.08C865)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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