DocumentCode
239777
Title
Instantaneous pitch estimation based on empirical wavelet transform
Author
Yusheng Li ; Biao Xue ; Hong Hong ; Xiaohua Zhu
Author_Institution
Sch. of Electron. & Opt. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2014
fDate
20-23 Aug. 2014
Firstpage
250
Lastpage
253
Abstract
In this paper, a novel approach is proposed specially for capturing the instantaneous pitch that may reveals some innate character of the speech. Firstly, the original signal is decomposed into several modes with empirical wavelet transform, and then the mode containing the pitch is picked out, finally the instantaneous pitch is calculated via Hilbert transform. Intensive evaluation and direct comparisons with existing method are conducted with the standard Chinese and English speech database, all showing the effectiveness of the proposed method in acquiring the instantaneous pitch.
Keywords
Hilbert transforms; speech processing; wavelet transforms; Chinese speech database; English speech database; Hilbert transform; empirical wavelet transform; instantaneous pitch estimation; intensive evaluation; signal decomposition; speech character; Databases; Digital signal processing; Estimation; Speech; Speech processing; Wavelet transforms; empirical wavelet transform; hilbert transform; instantaneous pitch;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/ICDSP.2014.6900838
Filename
6900838
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