  This paper is focused on nonlinear prediction coding, which consists on the
prediction of a speech sample based on a nonlinear combination of previous
samples. It is known that in the generation of the glottal pulse, the wave
equation does not behave linearly [2], [10], and we model these effects by
means of a nonlinear prediction of speech based on a parametric neural network
model. This work is centred on the neural net weight's quantization and on the
compression gain.
