一种改进的先验MMSE谱减方法用于语音增强

2007 3rd International Workshop on Signal Design and Its Applications in Communications Pub Date : 2007-12-26 DOI:10.1109/IWSDA.2007.4408401

Ning Cheng, Wenju Liu, Bo Xu

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引用次数: 2

摘要

本文提出了一种改进的最小均方误差(MMSE)谱减算法，通过引入自适应平均因子来准确估计先验信噪比。通过与传统谱减法算法的比较，对改进后的先验信噪比进行了评价。将本文提出的时频变平均因子应用到传统的减法规则中，对各种类型噪声的语音质量度量得到了改进的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Improved A Priori MMSE Spectral Subtraction Method for Speech Enhancement

This paper presents a modification of conventional minimum mean squared error (MMSE) spectral subtraction algorithm by introducing an adaptive averaging factor to accurately estimate the a priori SNR. Performance of the modified a priori SNR is evaluated by comparing with conventional spectral subtraction algorithm. Improved results are obtained in terms of speech quality measures for various types of noise when the time-frequency varying averaging factor, proposed in this paper, is adapted in the conventional subtraction rules.

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2007 3rd International Workshop on Signal Design and Its Applications in Communications

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