Are speech attractor models useful in diagnosing vocal fold pathologies?

Yasser Shekofteh, Shahriar Gharibzadeh, Farshad Almasganj

DOI:

Abstract


The speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. Therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. Since there are some experimental evidences that suggest the existence of chaotic behavior in speech production system, in this paper a new method is proposed to predict vocal fold pathologies using its chaotic characteristics. The proposed method is based on modeling of pathological voice as a speech trajectory in the reconstructed phase space.

Keywords


Attractor model; vocal fold pathologies; Reconstructed phase space;

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