Third International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2003)
This paper shows how the chaotic systems theory can be applied to the modeling of speech signals, whose dynamics is highly complex. We verify that, when using a theory that is able to model nonlinear features, speech signals present a highly nonlinear behavior, which could not be inferred from a linear theory.
Index Terms. Chaos theory, speech modeling, nonlinear dynamical systems, Lyapunov exponents, time series
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Petry, A. / Barone, D. A. C. (2003): "Towards chaotic modeling of speech signals", In MAVEBA-2003, 95-98.