互联网 qkzz.net
全刊杂志网:首页 > 女性 > 文章正文
刊社推荐

基于小波变换的语音信号可视化研究


□ 王 旭 薛丽芳 杨 丹 韩志艳

   (东北大学 信息科学与工程学院, 沈阳 110004)
  
  摘 要:给出了一种新的语音信号的可视化方法,利用基于小波变换的时频分析方法来模拟基底膜带通滤波器的特性,克服了SFT(短时傅里叶变换)分析对高、低频段具有相同的时间分辨率和频率分辨率的缺点。对经过小波变换滤波后的语音信号进行特征编码形成语音的组合特征,将该组合特征作为一个新的特征量来表示语音信息,并将这种特征用简单的图形表示出来。利用聋哑人自身的大脑来识别语音,达到训练其口语的目的。
  关键词:语音可视化;小波变换; 组合特征
  中图分类号:TP391.42 文献标志码:A
   文章编号:10013695(2009)01009403
  
  Speech visualization based on wavelet transform
  WANG Xu, XUE Lifang, YANG Dan, HAN Zhiyan
  
  (College of Information Science & Engineering, Northeastern University, Shenyang 110004, China)
  
  Abstract:This paper described a new speech visualization method that created readable patterns by integrating combined feature into a single image. The system made use of timefrequency analysis based on wavelet transform to simulate the bandpass filter property of basilar membrane. The method remedied the defect that short fourier transform(SFT) had the same timeresolution and frequencyresolution to different frequency ranges. The auditory feature was displayed on the CRT by plot patterns and the deaf could utilize their own brain to identify different speech for training their oral ability effectively. Firstly, speech signal underwent a series of preprocessing course. Secondly, made use of wavelet transform to process timefrequency analysis for speech signal and extracted the feature value for speech visualization. Then calculated that the feature value lay in which place in full array and obtained the combined feature value. Finally, utilized plot display algorithm to generate a speech plot. ......
很抱歉,暂无全文,若需要阅读全文或喜欢本刊物请联系《计算机应用研究》杂志社购买。
欢迎作者提供全文,请点击编辑
分享:
 

了解更多资讯,请关注“木兰百花园”
分享:
 
精彩图文


关键字
支持中国杂志产业发展,请购买、订阅纸质杂志,欢迎杂志社提供过刊、样刊及电子版。
关于我们 | 网站声明 | 刊社管理 | 网站地图 | 联系方式 | 中图分类法 | RSS 2.0订阅 | IP查询
全刊杂志赏析网 2017