Nonlinear Vectorial Prediction with Neural Nets
Marcos Faundez-Zanuy

TL;DR
This paper introduces a nonlinear vectorial prediction method using neural networks for speech coding, aiming to develop a fully vectorial speech encoder with promising results.
Contribution
It presents a novel neural network-based vectorial prediction scheme and a procedure for vectorial quantization in speech encoding.
Findings
Effective nonlinear prediction demonstrated in speech coding
Development of a fully vectorial speech encoder
Promising experimental results with the proposed system
Abstract
In this paper we propose a nonlinear vectorial prediction scheme based on a Multi Layer Perceptron. This system is applied to speech coding in an ADPCM backward scheme. In addition a procedure to obtain a vectorial quantizer is given, in order to achieve a fully vectorial speech encoder. We also present several results with the proposed system
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Taxonomy
TopicsAdvanced Data Compression Techniques · Speech and Audio Processing · Neural Networks and Applications
