Voice pathology detection using interlaced derivative pattern on glottal source excitation

• Main Authors: Muhammad, G., Alsulaiman, M., Ali, Z., Mesallam, T.A., Farahat, M., Malki, K.H., Al-nasheri, A., Bencherif, M.A.
• Format: Article
• Published: Elsevier Ltd 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990178804&doi=10.1016%2fj.bspc.2016.08.002&partnerID=40&md5=95d1785e54fc7f127392121d1838f383; http://eprints.utp.edu.my/19860/

In this paper, we propose a voice pathology detection and classification method using an interlaced derivative pattern (IDP), which involves an n-th order directional derivative, on a spectro-temporal description of a glottal source excitation signal. It is shown previously that directional informat...