Speaker: Thanasis Tsanas, Usher Institute

Abstract:

Biomedical speech signal analysis has been gaining increasing momentum in the last 10-15 years. In this talk, I will focus on the key principles and state of the art signal processing algorithms to characterize sustained vowels and voice fillers. My aim is to demonstrate how the extracted characteristics from speech signals can be combined with machine learning techniques to develop robust, automated decision support tools assisting experts on their day-to-day praxis in the context of medical applications and forensic applications. I will highlight contemporary challenges and areas for further development, in particular with large speech databases that we have recently reported on such as the Parkinson’s Voice Initiative.