Impact of the glottal signal on the prediction of speech

Danijela D. Protić

doi:10.5937/vojtehg63-6357

Impact of the glottal signal on the prediction of speech

Danijela D. Protić General Staff of the Serbian Army, Department of Telecommunications Information Technology (J-6), Centre for Applied Mathematics and Electronics, Belgrade

DOI: https://doi.org/10.5937/vojtehg63-6357

Keywords: Linear models, Prediction, Glottal signal, Feed-forward neural network, Speech,

Abstract

In this paper, several linear and nonlinear techniques for speech processing based on AR, ARX, ARMAX, WLS and FNN models are proposed. The impact of the glottal wave to modelling is also shown in details. GD, BPA and LM approximations are used for model training and optimization. A comparative experimental analysis of five considered models is done based on the prediction of a speech signal. The results on training and testing are presented through learning and training errors for all models given.

Bez naslova

Published

2015/03/24

Issue

Vol. 63 No. 1 (2015): January – March

Section

Original Scientific Papers

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