# Non-linear predictive vector quantization of speech

arXiv: https://arxiv.org/abs/2203.02506 · HTML: https://mlsanity.com/paper/2203.02506/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 5 references that are in the map.
- First posted on arXiv 7 Mar 2022.

## Builds on (most cited first, 1 of 1)

- [Nonlinear predictive models computation in ADPCM schemes](https://mlsanity.com/paper/2203.02020/) (2022)

## Abstract (arXiv)

In this paper we propose a Non-Linear Predictive Vector quantizer (PVQ) for speech coding, based on Multi-Layer Perceptrons. We also propose a method to evaluate if a quantizer is well designed, and if it exploits the correlation between consecutive outputs. Although the results of the Non-linear PVQ do not improve the results of the non-linear scalar predictor, we check that there is some room for the PVQ improvement.
