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Modified AMDF Pitch Detection Algorithm Based on DWT(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2014年02期
Page:
49-
Research Field:
Publishing date:

Info

Title:
Modified AMDF Pitch Detection Algorithm Based on DWT
Author(s):
Zheng Rui1; Li Ping2; Zeng Yumin1; Gao Wen1; Li Mengchao1
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China) (2.Department of Information Engineering,Taizhou Vocational and Technical University,Taizhou 225300,China)
Keywords:
pitch; discrete wavelet transform(DWT); average magnitude difference function(AMDF); falling trend
PACS:
TP391.42;TN912
DOI:
-
Abstract:
As a commonly used pitch detection algorithm,Average Magnitude Difference Function(AMDF)is used to estimate the pitch from the speech signal effectively.However,owing to the falling trend of the AMDF curve,it is easy to make the estimated pitch erroneous when AMDF algorithm is performed.In order to overcome the drawback,this paper presents a modified AMDF algorithm based on discrete wavelet transform(DWT)called DWAMDF.In this algorithm,conventional AMDF of each voiced frame is firstly calculated.Then the falling trend of AMDF is extracted by DWT.Finally DWAMDF is obtained by removing the falling trend from AMDF and the true pitch can be detected from DWAMDF.Lots of experiments show that the performance of the proposed DWAMDF outperforms AMDF and other AMDFbased modified algorithms.

References:

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Last Update: 2014-06-30