Non-linear predictive models for speech processing

Authors:
M. Chetouani;Amir Hussain;M. Faundez-Zanuy;B. Gas
Affiliations:
Laboratoire des Instruments et Systèmes d'Ile-De-France, Paris, France;Dept. of Computing Science and Mathematics, University of Stirling, Scotland, U.K;Escola Universitària Politècnica de Mataró, Barcelona, Spain;Laboratoire des Instruments et Systèmes d'Ile-De-France, Paris, France
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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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).