基于听觉感知的电子耳蜗共振峰提取方案

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (29): 232-234.

基于听觉感知的电子耳蜗共振峰提取方案

施晓敏¹,顾济华¹,陶智¹,赵鹤鸣²,张晓俊¹

1.苏州大学物理科学与技术学院,江苏苏州 215006
2.苏州大学电子信息学院,江苏苏州 215006

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-11 发布日期:2007-10-11
通讯作者: 施晓敏

Formant extraction algorithm based on auditory perception wavelet transform

SHI Xiao-min¹,GU Ji-hua¹,TAO Zhi¹,ZHAO He-ming²,ZHANG Xiao-jun¹

1.School of Physics Sciences and Technology,Suzhou University,Suzhou,Jiangsu 215006,China
2.School of Electron Information,Suzhou University,Suzhou,Jiangsu 215006,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-10-11 Published:2007-10-11
Contact: SHI Xiao-min

摘要/Abstract

摘要： 使用听觉感知的小波变换来提取电子耳蜗中的共振峰参数。首先用听觉感知的小波变换对原始语音信号进行分解重构,然后分别用自相关和格型法对合成语音信号和原始语音信号进行共振峰提取。实验结果表明：使用听觉感知的小波变换进行共振峰参数提取的可行性,合成语音信号能更好地表征原始语音信号的特征;同时也证实了电子耳蜗语音处理器中使用由格型法提取共振峰参数比自相关法更精确。

Abstract: Extract cochlear formant on the basis of auditory perception.Filter the speech with a set of auditory perception filter first,then extract the formant of synthetic speech and original speech with self-correlation algorithm and grid model algorithm.The experiment results show that extracting cochlear formant on the basis of auditory perception is viable,the character of synthetic speech signal achieved in this paper could token original speech’s character and the grid model algorithm is stabilizing and exactitude than self-correlation algorithm.

施晓敏¹,顾济华¹,陶智¹,赵鹤鸣²,张晓俊¹. 基于听觉感知的电子耳蜗共振峰提取方案[J]. 计算机工程与应用, 2007, 43(29): 232-234.

SHI Xiao-min¹,GU Ji-hua¹,TAO Zhi¹,ZHAO He-ming²,ZHANG Xiao-jun¹. Formant extraction algorithm based on auditory perception wavelet transform [J]. Computer Engineering and Applications, 2007, 43(29): 232-234.