Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005.
DOI: 10.1109/ecctd.2005.1523020
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Chaotic dynamics and simulation of Japanese vowel sounds

Abstract: -We examine deterministic dynamics in Japanese speech vocalisation patterns. We find that a simple data driven non-parametric model may be employed to accurately and compactly describe the complex dynamic structure of the data. Moreover, we demonstrate that the data is not consistent with a monotonic nonlinear transformation of linearly filtered noise (i.e. determinism in the data cannot be adequately described by the Fourier power spectrum). We then show that for four of the five vowel sounds, the dynamics ar… Show more

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Cited by 6 publications
(6 citation statements)
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“…The algorithm for reducing the number of lagged components is as follows: An implementation of the minimum description length criterion for optimal embedding lag and window was done by Small and Tse 69,70 .An extension of this method was proposed by Hirata et al 61 where a normalised maximum likelihood L is used in place of minimum description length L for model selection 71,72 . Hirata et al also propose a variation of the above algorithm by Judd and Mees -cross-validation -that utilises the radial basis modesl instead of pseudo-linear models.…”
Section: E Reduced Autoregressive Modelsmentioning
confidence: 99%
“…The algorithm for reducing the number of lagged components is as follows: An implementation of the minimum description length criterion for optimal embedding lag and window was done by Small and Tse 69,70 .An extension of this method was proposed by Hirata et al 61 where a normalised maximum likelihood L is used in place of minimum description length L for model selection 71,72 . Hirata et al also propose a variation of the above algorithm by Judd and Mees -cross-validation -that utilises the radial basis modesl instead of pseudo-linear models.…”
Section: E Reduced Autoregressive Modelsmentioning
confidence: 99%
“…For calculation of Rossler's data, the system coefficients chosen were a = 0.398, b = 2, c = 4 which corresponds to single-band chaos [20][21][22], and for the Lorenz system and σ = 10, ρ = 28, β = 8/3; numerical simulation was done by the 4th order Runge-Kutta method with time step 0.01. Information about predictability can be used to distinguish different behaviors.…”
Section: Deterministic Nonlinear Predictionmentioning
confidence: 99%
“…In order to make a finer distinction of the observed non-random signatures, surrogate testing [17,18] have been used in conjunction with complexity measures [13][14][15][16]. This includes complexity measures such as LZ complexity and its extensions (γ) [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…represented by a schematic diagram [16]. Complexity measures have been successfully used to detect possible non-random structure and discriminate different physiological states of activity [3][4][5][6][7][8][9][10][11][12][13][14][15]. In order to make a finer distinction of the observed non-random signatures, surrogate testing [17,18] have been used in conjunction with complexity measures [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
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