Presentation 2014-06-19
Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain
Surasak BOONKLA, Masashi UNOKI,
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Abstract(in English) In this paper, we propose a novel method for speech analysis using multivariate empirical mode decomposition (MEMD) based on the source-filter (SF) model. The proposed method decomposes log-spectrum of a speech signal into two groups of the summed intrinsic-mode-functions (IMFs): the summation of first group contains fine structure corresponding to log-spectrum of the glottal source and the summation of the second group contains spectral envelope corresponding to frequency response of the vocal-tract filter. In the proposed method, the two groups can be automatically determined by using IMF classification based on autocorrelation of multivariate IMFs. We evaluate the proposed method in comparison with linear prediction (LP)-based and cepstrum methods to confirm its abilities. The results reveal that our proposed method can automatically and correctly separate two groups of IMFs, these of source and filter, in log-spectrum representation and effectively analyze speech signal as the same as abilities of LP-based and cepstrum methods.
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Keyword(in English) spectral envelope / multivariate empirical mode decomposition / speech analysis / log spectrum, souce-filter model
Paper # SP2014-54,WIT2014-9
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Committee WIT
Conference Date 2014/6/12(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain
Sub Title (in English)
Keyword(1) spectral envelope
Keyword(2) multivariate empirical mode decomposition
Keyword(3) speech analysis
Keyword(4) log spectrum, souce-filter model
1st Author's Name Surasak BOONKLA
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Masashi UNOKI
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
Date 2014-06-19
Paper # SP2014-54,WIT2014-9
Volume (vol) vol.114
Number (no) 92
Page pp.pp.-
#Pages 6
Date of Issue