计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (4): 94-98.

• 网络、通信与安全 • 上一篇    下一篇

基于小波语谱图分析的语音去噪技术

郑  党1,鲍  鸿1,张  晶2   

  1. 1.广东工业大学 自动化学院,广州 510006
    2.广东外语外贸大学 思科信息学院,广州 510006
  • 出版日期:2016-02-15 发布日期:2016-02-03

Speech de-noising technology based on wavelet-speech spectrogram

ZHENG Dang1, BAO Hong1, ZHANG Jing2   

  1. 1.Institute of Automation, Guangdong University of Technology, Guangzhou 510006, China
    2.Cisco School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China
  • Online:2016-02-15 Published:2016-02-03

摘要: 由于不同环境下噪声特性不同,多种环境下的语音去噪成为研究难点。提出一种基于小波语谱图分析的去噪技术。该方法的特点在于:利用小波变换的多分辨性对带噪语音进行多尺度分析,利用语谱图列自相关函数的特性划分语音段和噪声段,利用点连续检测法去除语音段残留的噪声。实验显示,小波语谱图分析去噪法对多种环境下的宽带噪声,抑制效果显著。

关键词: 语音去噪, 小波变换, 语谱图, 自相关函数, 宽带噪声

Abstract: In order to find a speech de-noising method suitable for most of the environment, the paper presents a de-noising technique based on wavelet-spectrum analysis. The features of this method include:the multi-scale analysis for noisy speech can be done by using multi-resolution of wavelet transformation, and the speech and noise can be distinguished by using characteristics of self-correlation of speech spectrogram, as well as the residual noise of speech segment can be cleared by using continuous monitoring of points. Experiments show that the de-noising method of wavelet spectrum analysis can remove a variety of wide-band noise in different environments.

Key words: de-noising technique, wavelet decomposition, speech spectrogram, self-correlation, wide-band noise