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CLC number: TN912.3

On-line Access: 2012-01-19

Received: 2011-04-13

Revision Accepted: 2011-08-09

Crosschecked: 2011-12-29

Cited: 1

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.2 P.139-145

10.1631/jzus.C1100092


Detection of time varying pitch in tonal languages: an approach based on ensemble empirical mode decomposition


Author(s):  Hong Hong, Xiao-hua Zhu, Wei-min Su, Run-tong Geng, Xin-long Wang

Affiliation(s):  School of Electronic Engineering and Optoelectronic Techniques, Nanjing University of Science and Technology, Nanjing 210094, China; more

Corresponding email(s):   hongnju@gmail.com

Key Words:  Ensemble empirical mode decomposition, Time varying pitch, Tonal language, Noise restraint


Hong Hong, Xiao-hua Zhu, Wei-min Su, Run-tong Geng, Xin-long Wang. Detection of time varying pitch in tonal languages: an approach based on ensemble empirical mode decomposition[J]. Journal of Zhejiang University Science C, 2012, 13(2): 139-145.

@article{title="Detection of time varying pitch in tonal languages: an approach based on ensemble empirical mode decomposition",
author="Hong Hong, Xiao-hua Zhu, Wei-min Su, Run-tong Geng, Xin-long Wang",
journal="Journal of Zhejiang University Science C",
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pages="139-145",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1100092"
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%T Detection of time varying pitch in tonal languages: an approach based on ensemble empirical mode decomposition
%A Hong Hong
%A Xiao-hua Zhu
%A Wei-min Su
%A Run-tong Geng
%A Xin-long Wang
%J Journal of Zhejiang University SCIENCE C
%V 13
%N 2
%P 139-145
%@ 1869-1951
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1100092

TY - JOUR
T1 - Detection of time varying pitch in tonal languages: an approach based on ensemble empirical mode decomposition
A1 - Hong Hong
A1 - Xiao-hua Zhu
A1 - Wei-min Su
A1 - Run-tong Geng
A1 - Xin-long Wang
J0 - Journal of Zhejiang University Science C
VL - 13
IS - 2
SP - 139
EP - 145
%@ 1869-1951
Y1 - 2012
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1100092


Abstract: 
A method based on ensemble empirical mode decomposition (EEMD) is proposed for accurately detecting the time varying pitch of speech in tonal languages. Unlike frame-, event-, or subspace-based pitch detectors, the time varying information of pitch within the short duration, which is of crucial importance in speech processing of tonal languages, can be accurately extracted. The Chinese Linguistic Data Consortium (CLDC) database for Mandarin Chinese was employed as standard speech data for the evaluation of the effectiveness of the method. It is shown that the proposed method provides more accurate and reliable results, particularly in estimating the tones of non-monotonically varying pitches like the third one in Mandarin Chinese. Also, it is shown that the new method has strong resistance to noise disturbance.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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