Influence of delay time on regularity estimation for voice pathology detection

• Published in: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2012-01, Vol.2012, p.4217-4220
• Main Authors: Gomez Garcia, J. A., Godino Llorente, J. I., Castellanos Dominguez, G.
• Format: Article
• Language: English
• Subjects: Accuracy; Correlation; Delay; Delay effects; Estimation; Pathology; Time series analysis
• ISSN: 1094-687X; 1558-4615; 2694-0604
• DOI: 10.1109/EMBC.2012.6346897

The employment of nonlinear analysis techniques for automatic voice pathology detection systems has gained popularity due to the ability of such techniques for dealing with the underlying nonlinear phenomena. On this respect, characterization using nonlinear analysis typically employs the classical Correlation Dimension and the largest Lyapunov Exponent, as well as some regularity quantifiers computing the system predictability. Mostly, regularity features highly depend on a correct choosing of some parameters. One of those, the delay time τ, is usually fixed to be 1. Nonetheless, it has been stated that a unity τ can not avoid linear correlation of the time series and hence, may not correctly capture system nonlinearities. Therefore, present work studies the influence of the τ parameter on the estimation of regularity features. Three τ estimations are considered: the baseline value 1; a τ based on the Average Automutual Information criterion; and τ chosen from the embedding window. Testing results obtained for pathological voice suggest that an improved accuracy might be obtained by using a τ value different from 1, as it accounts for the underlying nonlinearities of the voice signal.