基于语音存在概率的噪声功率谱估计

doi:10.13229/j.cnki.jdxbgxb201603036

吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 917-922.doi: 10.13229/j.cnki.jdxbgxb201603036

基于语音存在概率的噪声功率谱估计

赵彦平, 赵晓晖, 王波

吉林大学通信工程学院,长春 130012

收稿日期:2013-07-17 出版日期:2016-06-20 发布日期:2016-06-20
通讯作者: 赵晓晖(1957-),男,教授,博士生导师.研究方向:信号处理在通信中的应用.E-mail:xhzhao@jlu.edu.cn
作者简介:赵彦平(1978),女,讲师,博士研究生.研究方向:语音信号处理.E-mail:zhaoyp@jlu.edu.cn
基金资助:
国家自然科学基金项目(61171079).

Noise power spectrum estimation based on speech presence probability

ZHAO Yan-ping, ZHAO Xiao-hui, WANG Bo

College of Communication Engineering, Jilin University, Changchun 130012, China

Received:2013-07-17 Online:2016-06-20 Published:2016-06-20

摘要/Abstract

摘要： 在幅度平方谱模型下,利用语音和噪声信号的幅度平方谱服从指数分布,结合由后验信噪比不确定性决定的后验语音存在概率来更新噪声功率谱估计,很好地抑制了噪声且避免了语音信号失真。仿真实验结果表明:本文方法能够准确跟踪噪声功率谱、快速跟踪噪声功率谱变化,可以在一定程度上提高增强后语音信号的质量。

关键词: 信息处理技术, 语音增强, 噪声功率谱估计, 语音存在概率

Abstract: Using the magnitude-square spectrum model and the exponential probability densities of the magnitude-square spectrum of the clean speech and noise. The new method updates the noise power spectrum estimation using the posteriori speech presence probability by incorporating a posteriori signal to noise ratio uncertainty. It can suppress effectively the background noise without introducing speech distortion. The simulation results reveal that the new method is characterized by tracking noise power spectrum accurately and following quickly abrupt changes in the noise spectrum. The quality of enhanced speech signal is improved in a certain extent.following quickly abrupt changes in the noise spectrum. The quality of the enhanced speech signal is improved in a certain extent.

Key words: information processing, speech enhancement, noise power spectrum estimation, speech presence probability

中图分类号:

TN912

赵彦平, 赵晓晖, 王波. 基于语音存在概率的噪声功率谱估计[J]. 吉林大学学报(工学版), 2016, 46(3): 917-922.

ZHAO Yan-ping, ZHAO Xiao-hui, WANG Bo. Noise power spectrum estimation based on speech presence probability[J]. 吉林大学学报(工学版), 2016, 46(3): 917-922.

参考文献

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基于语音存在概率的噪声功率谱估计

Noise power spectrum estimation based on speech presence probability

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