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Citation

Chetouani M, Hussain A, Faundez-Zanuy M & Gas B (2005) Non-linear predictive models for speech processing. In: Duch W W, Kacprzyk J, Oja E & Zadrozny S (eds.) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II. Lecture Notes in Computer Science, 3697. Berlin Heidelberg: Springer, pp. 779-784. http://link.springer.com/chapter/10.1007/11550907_123#; https://doi.org/10.1007/11550907_123

Abstract
This paper aims to provide an overview of the emerging area of non-linear predictive modelling for speech processing. Traditional predictors are linear based models related to the speech production model. However, non-linear phenomena involved in the production process justify the use of non-linear models. This paper investigates certain statistical and signal processing perspectives and reviews a number of non-linear models including their structure and key parameters (such as prediction context).