A comparative study between linear and nonlinear speech prediction
Sound
2022-04-01 v1 Audio and Speech Processing
Abstract
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.
Cite
@article{arxiv.2203.16962,
title = {A comparative study between linear and nonlinear speech prediction},
author = {Marcos Faundez-Zanuy and Enric Monte and Francesc Vallverdú},
journal= {arXiv preprint arXiv:2203.16962},
year = {2022}
}
Comments
11 pages, published in Mira, J., Moreno-D\'iaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg