Non-linear predictive vector quantization of speech
Machine Learning
2022-03-08 v1 Sound
Abstract
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.
Keywords
Cite
@article{arxiv.2203.02506,
title = {Non-linear predictive vector quantization of speech},
author = {Marcos Faundez-Zanuy},
journal= {arXiv preprint arXiv:2203.02506},
year = {2022}
}
Comments
4 pages. arXiv admin note: substantial text overlap with arXiv:2202.13866