Assoc. Professor Mieke Moerman, MD, PSc, PhD
President B-Laryphon
Board member UEP / EAP
Chair of UEP Biomarker Committee
Founder of TELEPHON.digital BV, Ghent, Belgium
mmoermanmdmscphd@drzayed91gmail-com
Prof. Ahmed Abdelgoad
ENT department- Faculty of Medicine-Imam Abdulrahman Bin Faisal and Ain Shams University, Khobar, Saudi-Arabia
Prof. Dr. Haldun OGUZ
Department of Otolaryngology, Lokman Hekim University, Faculty of Medicine, Ankara, Turkiye.
Assoc. Prof.Dr. Ramón Hernández-Villoria, MD, Sp., M.Sc.
Centro Clínico de Audición y Lenguaje Cealca - Caracas, Venezuela
Prof. Daniele Farneti, MD
Universities of Bologna, Parma, Ferrarahe, and Pathophysiology of Vocal Production in the Music Conservatory of Parma, Italy
Valentina Camesasca, MD
ENT / Phoniatrician Ospedale Metropolitano Niguarda in Milano, Italy
Assoc. Prof. Necati Enver MD.
Marmara University, Department of Otolaryngology Head Neck Surger, Istanbul, Turkey
Ilona Kaminska MD.
Phoniatric and Audiologic Department University of Poznan, Poland
Alberto Paderno MD.
University of Brescia, Otolaryngology - Head and Neck Surgery, Brescia, Italy
Prof. Virgilijus Uloza, MD.
Lithuanian University of Health Sciences, Department Otolaryngology, Kaunas, Lithuania
Neveen Nashaat MD.
Asst. Prof. of phoniatrics and audiology in the National Research Centre, Cairo, Egypt
Prof. Paavo Alku Lecture:
Glottal Inverse Filtering and Its Application in Automatic Classification of Diseases
Date: 11th March 2024 at 17:00 CET
The UEP biomarker committee will hold its next meeting on March 11, 2024, from 5-6pm Brussels time. In its search for voice-related biomarkers for voice and swallowing problems in Parkinson's patients, the Biomarker committee aims to explore the possibility of obtaining reliable data on glottal closure and the aerodynamic voice dimension via inverse filtering. During this meeting, Professor Paavo Alku from Aalto University in Finland will give a short presentation on inverse filtering of the voice signal.
You are welcome to join via the Zoom link: https://us02web.zoom.us/j/84406249438?pwd=Ymd2TE1XYmVJVGU1NXFITU1DOUwyUT09
Abstract
A short introduction to glottal inverse filtering (GIF) methods is given by first describing the history
and the general benefits and drawbacks of GIF. The most common voice source parameters are then discussed. The use of GIF and voice source parameters computed with GIF in machine learning (ML) - based classification of pathological speech is then described based on a few recent studies conducted at Aalto University. In this part, we will report on our experiments on automatic detection of Parkinson’s disease and heart failure from speech.
Paavo Alku received his M.Sc., Lic.Tech., and Dr.Sc.(Tech) degrees from Helsinki University of Technology, Espoo, Finland, in 1986, 1988, and 1992, respectively. He was an assistant professor at the Asian Institute of Technology, Bangkok, Thailand, in 1993, and an assistant professor and professor at the University of Turku, Finland, from 1994 to 1999. He is currently a professor of speech communication technology at Aalto University, Espoo, Finland. His research interests include analysis and parameterization of speech production, speech-based biomarking of human
health, and cerebral processing of speech. He has published around 240 peer-reviewed journal articles and around 220 peer-reviewed conference papers. He is an Associate Editor of J. Acoust. Soc. Am. He served as an Academy Professor assigned by the Academy of Finland in 2015-2019. He is a Fellow of the IEEE and a Fellow of ISCA.
AI-enhanced voice analysis for neurological diseases - Preliminary Technical Exploration by Alberto Paderno, Humanitas University
