Modelling Signal Dynamics in Voiced Speech Coding
Domingo Docampo, Juan Francisco Fariña · Applied and numerical harmonic analysis · 1998
We present a non-linear and non-parametric prediction algorithm for modelling the internal dynamics of the speech signal through a state-space geometric description. The proposed model extracts the intrinsic determinism embedded in the voiced speech signal from comparisons among the observed trajectories in state space. The combination of a metric criterion and frequency similarity results in a model which evolves throughout a quasi-periodic trajectory with a pitch period similar to the speech signal under analysis. Results for voiced frames of this model and comparisons with LPC-based methods are promising at medium bit rates. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.