Modified AMDF pitch detection algorithm based on trend analysis

被引：0
作者：
Zong, Yuan [1 ]
Zeng, Yu-Min [1 ]
Zhang, Meng [1 ]
Li, Peng-Cheng [1 ]
机构：
[1] School of Physics and Technology, Nanjing Normal University, Nanjing
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2014年 / 33卷 / 20期
关键词：
Average magnitude difference function; Falling trend; Linear polynomial; Pitch; Speech signal processing;
D O I：
10.13465/j.cnki.jvs.2014.20.008
中图分类号：
学科分类号：
摘要：
A modified algorithm framework was presented based on eliminating falling trend for improving the average magnitude difference function (AMDF) pitch detection algorithm in speech signal processing to conquer the defect of generating error pitch in conventional AMDFs. In the framework, a linear polynomial was employed to represent the falling trend of AMDF. Then a modified AMDF algorithm based on least square (LS) method within the proposed framework was provided. LS method was performed to fit the linear polynomial and the modified AMDF called LSAMDF was achieved by subtracting the falling trend, namely, the linear polynomial from the AMDF for pitch detection. The simulated results show that the performance of LSAMDF is much better than that of many improved AMDFs and the correctness of the proposed framework and the rationality of linear polynomial based falling trend representation are validated.
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页码：35 / 39
页数：4
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