Nonlinear Vectorial Prediction with Neural Nets

Authors:
Marcos Faúndez-Zanuy
Affiliations:
-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Year:
2001

Citing 3
Cited 1

Vector quantization and signal compression

Vector quantization and signal compression
Bayesian interpolation

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Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation

Nonlinear speech processing: overview and possibilities in speech coding

Nonlinear Speech Modeling and Applications

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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.