Presentation | 2000/7/12 CAS2000-40 / NLP2000-48 Nonlinear Analysis of Pathological Voice Isao Tokuda, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Speech signal of a pathological vowel/a/ with an"asthentic"vocal quality is studied by the nonlinear dynamical systems analysis. The pathological voice can be characterized by its non-stationary and noisy dynamical structure. The non-stationary property of the pathological voice is analyzed by the cross-prediction technique and the noisy components of the speech dynamics is reduced by an averaging filter. For a stationary part of the filtered speech signal, false nearest neighbor analysis and the Lyapunov spectrum analysis are further carried out. Although careful examinations are indispensable to check the reliability of the analyses, our results imply that there exists some low-dimensional nonlinear dynamics with a possible chaotic property in the pathological voice. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | pathological voice / chaos / non-stationary / cross-prediction / false nearest neighbor analysis / Lyapunov spectrum analysis |
Paper # | CAS2000-40,NLP2000-48 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2000/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | |
Sub Title (in English) | |
Keyword(1) | pathological voice |
Keyword(2) | chaos |
Keyword(3) | non-stationary |
Keyword(4) | cross-prediction |
Keyword(5) | false nearest neighbor analysis |
Keyword(6) | Lyapunov spectrum analysis |
1st Author's Name | Isao Tokuda |
1st Author's Affiliation | Department of Computer Science and Systems Engineering, Muroran Institute of Technology() |
Date | 2000/7/12 |
Paper # | CAS2000-40,NLP2000-48 |
Volume (vol) | vol.100 |
Number (no) | 204 |
Page | pp.pp.- |
#Pages | 5 |
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