Multifractal nature of unvoiced speech signals
- Department of Electrical Engineering, University of Rhode Island, Kingston, Rhode Island 02881 (United States)
- Department of Physics, University of Rhode Island, Kingston, Rhode Island 02881 (United States)
A refinement is made in the nonlinear dynamic modeling of speech signals. Previous research successfully characterized speech signals as chaotic. Here, we analyze fricative speech signals using multifractal measures to determine various fractal regimes present in their chaotic attractors. Results support the hypothesis that speech signals have multifractal measures. {copyright} {ital 1996 American Institute of Physics.}
- OSTI ID:
- 401085
- Report Number(s):
- CONF-950730-; ISSN 0094-243X; TRN: 96:029465
- Journal Information:
- AIP Conference Proceedings, Vol. 375, Issue 1; Conference: 3. technical conference on nonlinear dynamics (chaos) and full spectrum processing, Mystic, CT (United States), 10-13 Jul 1995; Other Information: PBD: Jun 1996
- Country of Publication:
- United States
- Language:
- English
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