| Presentation | 2009-05-29 Robust estimation of fundamental frequencies of speech signals in noisy environments based on signal filtering by empirical mode decomposition Tetsuya MATSUDA, Keikichi HIROSE, Nobuaki MINEMATSU, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A number of methods have already been developed for the estimation of fundamental frequencies of speech signals. However, almost all the methods observe the signals in a short time span and assume them being linear and stationary in the span, which is not correct strictly speaking. This situation limits precision of the estimation. While the empirical mode decomposition (EMD) is a method for signal analysis not assuming linear and stationary features of signals, it is rather difficult to apply it to the pitch estimation, since components corresponding to fundamental frequencies may spread to several functions after decomposition. This paper introduces a new method of pitch estimation based on EMD, where the problem is solved by applying EMD on the auto-correlation function of the signal. Since, in the lag-time domain, the signal energy concentrates to frequencies corresponding to signal structures, robust estimation of fundamental frequencies is realized by properly selecting a function from decomposed ones. Through experiments on pitch estimation in noisy environments, the robustness of the proposed method was shown. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pitch estimation / noisy environment / empirical mode decomposition / autocorrelation |
| Paper # | EA2009-10,SIP2009-10,SP2009-15 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2009/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Robust estimation of fundamental frequencies of speech signals in noisy environments based on signal filtering by empirical mode decomposition |
| Sub Title (in English) | |
| Keyword(1) | pitch estimation |
| Keyword(2) | noisy environment |
| Keyword(3) | empirical mode decomposition |
| Keyword(4) | autocorrelation |
| 1st Author's Name | Tetsuya MATSUDA |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Keikichi HIROSE |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 3rd Author's Name | Nobuaki MINEMATSU |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| Date | 2009-05-29 |
| Paper # | EA2009-10,SIP2009-10,SP2009-15 |
| Volume (vol) | vol.109 |
| Number (no) | 57 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |