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.