现代电子技术2017，Vol.40Issue(19)：71-74,78,5.DOI:10.16652/j.issn.1004-373x.2017.19.018
基于ACF的基音检测改进算法
Improved pitch detection algorithm based on ACF
摘要
Abstract
Autocorrelation function(ACF)method is a simple and effective detection algorithm in pitch periodic extraction. Aiming at the poor robustness of the traditional ACF method in a low SNR environment,an improved pitch periodic extraction al-gorithm is proposed. In this algorithm,the spectral subtraction method is used to reduce noise in speech signals,endpoint detec-tion is performed,main vowels are extracted and improved on the basis of the ACF,and pitch detection is performed for main vowels and the transition zone. The experimental results show that the algorithm has a higher accuracy rate,and the robustness is improved significantly in comparison with the traditional autocorrelation detection algorithm.关键词
基音周期/自相关函数/谱减法/基音检测/语音处理Key words
pitch period/autocorrelation function/spectral subtraction/pitch detection/speech processing分类
信息技术与安全科学引用本文复制引用
韩芳,王学春,靳宗信..基于ACF的基音检测改进算法[J].现代电子技术,2017,40(19):71-74,78,5.基金项目
国家自然科学基金项目(61101232,51472102) （61101232,51472102）
郑州市科技局科技发展计划项目(20140663) （20140663）
郑州市嵌入式系统应用技术重点实验室建设项目(121PYFZX177) （121PYFZX177）
