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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2014/6/12(1days) |
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Registration To | Well-being Information Technology(WIT) |
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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 |
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