ADPCM with nonlinear prediction
Audio and Speech Processing
2022-03-04 v1 Machine Learning
Abstract
Many speech coders are based on linear prediction coding (LPC), nevertheless with LPC is not possible to model the nonlinearities present in the speech signal. Because of this there is a growing interest for nonlinear techniques. In this paper we discuss ADPCM schemes with a nonlinear predictor based on neural nets, which yields an increase of 1-2.5dB in the SEGSNR over classical methods. This paper will discuss the block-adaptive and sample-adaptive predictions.
Cite
@article{arxiv.2203.01818,
title = {ADPCM with nonlinear prediction},
author = {Marcos Faundez-Zanuy and Oscar Oliva-Suarez},
journal= {arXiv preprint arXiv:2203.01818},
year = {2022}
}
Comments
4 pages