基于最优重构的病理嗓音基频检测算法研究  

Pitch Frequency Detection of Pathological Voice based on Optimal Reconstructed Signal

作　　者：周孝进[1] 张晓俊[1] 赵鹤鸣[2] 顾济华[1] 陶智[1] 

机构地区：[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

出　　处：《通信技术》2013年第11期42-46,共5页Communications Technology

基　　金：国家自然科学基金(No.61271359)病理嗓音识别与修复~~

摘　　要：提出了一种基于多级小波分解重构和非线性动力学参数的病理嗓音基音频率检测算法。首先对病理嗓音进行多级小波分解及重构,然后采用最大李雅普诺夫指数和近似熵表征不同重构嗓音的规则度从而自适应地选择周期性最优的小波重构嗓音信号,以直接提取基音频率。实验结果表明,与传统的基音检测算法相比,该方法有效地避免了检测中所存在的倍频及分频误差,提高了病理嗓音检测的鲁棒性及准确度。This paper proposes a new pitch detection algorithm of pathological vome based on alscrete wave- let, largest lyapunov exponent and approximate entropy. Firstly, Daubechies＇ discrete wavelet transform is used to process the pathological voice, and then the most regular reconstructed signal is adaptively selected to detect period based on tile two nonlinear dynamic parameters. Results show that this method could effec- tively avoid the detection of frequency doubling and frequency division error, and improve the robustness and accuracy of the pathologic voice detection.

关 键 词：病理嗓音基频 离散小波变换 最大李亚普诺夫指数 近似熵 

分 类 号：TN912.3[电子电信—通信与信息系统]