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A Modified AMDF Pitch Detection Algorithm Based on EMD(PDF)

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

Issue:
2013年01期
Page:
62-
Research Field:
Publishing date:

Info

Title:
A Modified AMDF Pitch Detection Algorithm Based on EMD
Author(s):
Zong Yuan; Zeng Yumin; Sun Yongxi; Zheng Rui
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
pitch; average magnitude difference function(AMDF); empirical mode decomposition(EMD); intrinsic mode functions(IMFs)
PACS:
TN912
DOI:
-
Abstract:
This paper presents a modified Average Magnitude Difference Function(AMDF)algorithm based on Empirical Mode Decomposition(EMD)for pitch detection.Firstly,AMDF of the voiced speech frame is computed.Then AMDF is decomposed into a residue component and a finite set of band-limited signals termed as Intrinsic Mode Functions(IMFs)by using EMD.A modified AMDF called EMDAMDF is reconstructed by all IMFs.Finally,the true pitch can be detected from EMDAMDF.The simulated results show that the performance of the proposed algorithm is much better than that of the conventional AMDF and CAMDF as the falling trend is eliminated effectively.

References:

[1] Krubsack D A,Niederjohn R J.An autocerrelation pitch detector and voicing decision with confidence measures developed for noise corrupted speech[J].IEEE Transactions on Signal Processing,1991,39(2):319-329.
[2]Ross M,Shaffer H,Freudberg R,et al.Average magnitude difference function pitch extractor[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1974,22(5):353-362.
[3]Ahmadi S,Spanias A S.Cepsrum-based pitch detection using a new statistical V/UV classification algorithm[J].IEEE Transactions on Speech and Audio Processing,1999,7(3):333-338.
[4]Kadame S,Broudreaux-Bartels G F.Application of the wavelet transform for pitch detection of speech signals[J].IEEE Transactions on Information Theory,1992,38(2):917-924.
[5]Amado G.Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes[C]//Proceedings of ICALIP.Shanghai:IEEE,2008:449-454.
[6]Dong J.Pitch detection using circular average magnitude difference function based on wavelet transform[J].International Journal of Innovative Computing,Information and Control,2009,5(9):2717-2724.
[7]Heckmann M.Combining rate and place information for robust pitch extraction[C]//Proceedings of Interspeech.Antwerp:ISCA,2007:1225-1228.
[8]Lindh J.Robustness of long time measures of fundamental frequency[C]//Proceedings of Interspeech.Antwerp:ISCA,2007:2025-2028.
[9]Pelle P.A robust pitch extraction system based on phase locked loops[C]//Proceedings of ICASSP.Toulouse:IEEE,2006:249-252.
[10]Zhang W,Xu G,Wang Y.Pitch estimation based on circular AMDF[C]//Proceedings of ICASSP.Beijing:IEEE,2002:341-344.
[11]Ghulam Muhammad.Noise robust pitch detection based on extended AMDF[C]//Proceedings of ISSPIT.Sarajevo:IEEE,2008:133-138.
[12]Huang N E,Zheng S,Long S R,et al.The empiri cal mode decomposition and the Hilbert spectrum f or nonlinear and non-stationary time series analysis[C]//Proceedings of Royal Society A.London:Royal Society,1998:903-995.
[13]Molla M,Khademul I,Hirose K,et al.Pitch estimation of noisy speech signals using empirical mode decomposition[C]//Proceedings of InterSpeech.Antwerp:ISCA,2007:2117-2180.
[14]王婷.EMD算法研究及其在信号去噪中的应用[D].哈尔滨:哈尔滨工程大学信息与通信工程学院,2010.
Wang Ting.Research on EMD algorithm and its application in signal denoising[D].Harbin:College of Information and Communication Engineering,Harbin Engineering University,2010.(in Chinese)
[15]Rabiner L R,Cheng M J,McGonegal C A.A comparative performance study of several pitch detection algorithms[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1976,24(5):399-417.
[16]Meyer G,Plante F,Ainsworth W A.A pitch extraction reference database[C]//Proceedings of EUROSPEECH.Madrid:ISCA,1995:827-840.

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Last Update: 2013-03-31