# ADPCM with nonlinear prediction

arXiv: https://arxiv.org/abs/2203.01818 · HTML: https://mlsanity.com/paper/2203.01818/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 8 references that are in the map.
- First posted on arXiv 24 Feb 2022.

## Built on by (most cited first, 1 of 1)

- [A comparative study of several ADPCM schemes with linear and nonlinear prediction](https://mlsanity.com/paper/2203.03189/) (2022)

## Abstract (arXiv)

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.