基于主体-延伸法的基音周期检测改进算法  

Improved pitch period detection algorithm based on main body extension method

作　　者：牟莉[1] 佘石豪 孟玉茹 MU Li;SHE Shihao;MENG Yuru(School of Computer Science, Xi’an Polytechnic University, Xi’an 710048, China)

机构地区：[1]西安工程大学计算机科学学院,陕西西安710048

出　　处：《西安工程大学学报》2022年第1期121-128,共8页Journal of Xi’an Polytechnic University

基　　金：陕西省技术创新引导专项(基金)计划(2020CGXNG-026)。

摘　　要：针对带噪语音信号基音周期检测过程中易出现较多野点的情况,提出一种改进的基音周期检测算法。首先,结合谱减法与小波变换进行降噪处理,将降噪后获得的有用语音信号序列进行第一次加窗分帧,从而用于信号端点和元音主体检测;其次,在第二次加窗分帧的过程中引入多窗谱估计法,进一步减少部分共振峰和残留噪声对基音检测的影响;最后,结合改进的主体-延伸法进行基音检测。实验仿真结果表明:与传统的基音周期检测方法相比,改进的基音周期估算方法采集到的有话段样点率为87%,比改进前提高了至少5%,提高了基音周期检测的精度。Due to many outliers in the pitch period detection of noisy speech signal,an improved pitch period detection method is proposed.Firstly,combining spectral subtraction and wavelet transform for noise reduction,we first windowed and framed the useful speech signal sequence obtained after noise reduction for signal endpoint and vowel subject detection.Then,in the second windowing and framing process,the multi window spectrum estimation method was introduced to further reduce the influence of some formants and residual noise on pitch detection.Finally,the improved main body extension method was used for pitch detection.The experimental simulation results show that compared with the traditional pitch detection method,the sample rate of the segment collected by the improved method is 87%,which is at least 5%higher than that of the traditional one.The improved method has higher accuracy of pitch detection.

关 键 词：小波变换 谱减法 多窗谱估计法 主体-延伸法 野点 基音周期 

分 类 号：TN912.3[电子电信—通信与信息系统]