Time-scale modification of speech based on a nonlinear oscillator model

Introduces a new signal model for speech: a nonlinear oscillator with a slowly time-varying state-space representation produces the full speech waveform at its output. Short-time stationary intervals of the waveform are interpreted as (transient) attractors of the underlying dynamical system. The model is adapted by building a `state-transition codebook´ (a table of all possible state transitions) for each speech frame. As a first test for the model the authors have developed a novel time-scale modification method for speech. This method produces high quality output at moderate computational cost