电讯技术Issue(10)：1327-1330,4.DOI:10.3969/j.issn.1001-893x.2013.10.014
基于压缩感知观测序列的语音信号基音周期提取
Pitch Detection Based on Compressed Sensing Sequence
摘要
Abstract
Voiced/unvoiced decision and pitch detection technique is an important part of speech signal processing. Based on the observation sequence of compressed sensing( CS) ,a method to detect the pitch is proposed in this paper,and the caculation amount is greatly reduced . Firstly, the characteristics of obser-vation sequences under different measurement matrixs are analyzed,and row echelon matrix is selected as the measurement matrix. Then wavelet decomposition with the observation sequence is performed and low frequency coefficients of the result is used for pitch extraction through autocorrelation method. Simulation and analysis show that compared with traditional autocorrelation method, the pitch detection accuracy of this method is almost the same as that of the traditional method, and it runs well when the speech is inter-fused with Gaussian white noise, but the calculation amount is just about 1/16 of that of the traditional method.关键词
语音信号处理/基音周期/压缩感知/非重构/自相关函数/小波变换Key words
speech signal processing/pitch period/compressed sensing( CS)/non-reconstruction/autocor-relation function/wavelet decomposition分类
信息技术与安全科学引用本文复制引用
曹杨..基于压缩感知观测序列的语音信号基音周期提取[J].电讯技术,2013,(10):1327-1330,4.基金项目
国家自然科学基金资助项目(61271335)@@@@The National Natural Science Foundation of China (No.61271335) （61271335）
