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基于AR模型的Kalman语音增强算法

王涛 鲁怀伟 刘宝成

青岛大学学报(自然科学版)2018,Vol.31Issue(2):48-53,6.
青岛大学学报(自然科学版)2018,Vol.31Issue(2):48-53,6.DOI:10.3969/j.issn.1006-1037.2018.05.09

基于AR模型的Kalman语音增强算法

Kalman Speech Enhancement Algorithm Based on AR Model

王涛 1鲁怀伟 1刘宝成1

作者信息

  • 1. 兰州交通大学数理学院,兰州730070
  • 折叠

摘要

Abstract

According to the AR model parameter estimation accuracy is not high and cannot solve the problem of harmonic noise,speech enhancement algorithm combined with Kalman filter,Kalman speech enhancement algorithm is proposed based on AR model,AR model Kalman speech enhancement algorithm of data preprocessing,eliminating singularity point,then set up AR model,obtained by Calman the output of the filter model.The experimental results show that the precision of parameter estimation of AR model is greatly improved and the effect of speech enhancement is better.

关键词

AR模型/Kalman滤波/语音增强

Key words

AR model/Kalman filter/speech enhancement

分类

信息技术与安全科学

引用本文复制引用

王涛,鲁怀伟,刘宝成..基于AR模型的Kalman语音增强算法[J].青岛大学学报(自然科学版),2018,31(2):48-53,6.

青岛大学学报(自然科学版)

1006-1037

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