Herein, non-linear prediction methods are applied to oesophageal voice analysis, The research aims to investigate normal and pathological subjects, in order to improve knowledge of the oesophageal voice behaviour. Analysis is performed in the reconstructed phase space, using both non-linear prediction with local linear approximation and the S-Map method. Preliminary results seem to confirm that in normal subjects a non-linear stable deterministic behaviour takes place, while in pathological subjects the non-linear contribution reduces while the time series becomes unstable. (C) 2002 Published by Elsevier Science Ltd on behalf of IPENI.
Non-linear prediction for oesophageal voice analysis RID A-6953-2008
LANDINI, LUIGI;VANELLO, NICOLA
2002-01-01
Abstract
Herein, non-linear prediction methods are applied to oesophageal voice analysis, The research aims to investigate normal and pathological subjects, in order to improve knowledge of the oesophageal voice behaviour. Analysis is performed in the reconstructed phase space, using both non-linear prediction with local linear approximation and the S-Map method. Preliminary results seem to confirm that in normal subjects a non-linear stable deterministic behaviour takes place, while in pathological subjects the non-linear contribution reduces while the time series becomes unstable. (C) 2002 Published by Elsevier Science Ltd on behalf of IPENI.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.