Some advances in nonlinear speech modeling using modulations, fractals, and chaos
We briefly summarize our on-going work on modeling nonlinear structures in speech signals, caused by modulation and turbulence phenomena, using the theories of modulation, fractals, and chaos as well as suitable nonlinear signal analysis methods. Further, we focus on two advances: (i) AM-FM modeling of fricative sounds with random modulation signals of the 1/f-noise type; (ii) improved methods for speech analysis and prediction on reconstructed multidimensional attractors.