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Identifier

000359479

Title

Real time voice pathology detection using autocorrelation pitch estimation and short time Jitter estimator

Alternative Title

Ανίχνευση παθολογίας φωνής σε πραγματικό χρόνο με χρήση αυτοσυσχέτισης και σύντομες εκτιμήσεις του Jitter

Author

Αστρινάκη, Μαρία Ιωάννη

Thesis advisor

Στυλιανού, Ιωάννης

Abstract

Voice is the result of the coordination of the whole pneumophonoarticulatory apparatus. Voice pathologies have become a social concern, as voice and speech play an important role in certain professions, and in the general population quality of life. The analysis of the voice allows the identification of the diseases of the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. In these last years emphasis has been placed in early pathology detection, for which classical perturbation measurements (jitter, shimmer, HNR, etc.) have been used. Going one step ahead the present work is aimed to implement a real time voice pathology detection system, combined with a Java interface.

Language

English

Subject

Autocorrelation

Jitter

Pure data

Real time

Short time jitter estimator

Voice pathology

Αυτοσυσχέτιση

Επεξεργασία σήματος

Παθολογία φωνής