The Medical Specialty for Communication and Swallowing Disorders
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Chair of the Committee
Assoc. Professor Mieke Moerman, MD, MSc, PhD President B-Laryphon | Board member UEP / EAP | Chair of UEP Biomarker Committee Founder of TELEPHON.digital BV, Ghent, Belgium mmoermanmdmscphd@gmail.com
Members of the Committee
Prof. Ahmed Abdelgoad ENT Department, Faculty of Medicine, Imam Abdulrahman Bin Faisal and Ain Shams University, Khobar, Saudi Arabia dr_mido1976@yahoo.com
Prof. Dr. Haldun OGUZ Department of Otolaryngology, Lokman Hekim University, Faculty of Medicine, Ankara, Turkiye oguz@phoniatrics.eu
Assoc. Prof. Dr. Ramón Hernández-Villoria, MD, MSc Centro Clínico de Audición y Lenguaje Cealca, Caracas, Venezuela ORCID | rhernandezv971@gmail.com
Prof. Daniele Farneti, MD Universities of Bologna, Parma and Ferrara; Pathophysiology of Vocal Production, Music Conservatory of Parma, Italy daniele.farneti@auslromagna.it
Ilona Kaminska, MD Phoniatric and Audiologic Department, University of Poznan, Poland kaminska.ilona@spsk2.pl
Alberto Paderno, MD University of Brescia, Otolaryngology – Head and Neck Surgery, Brescia, Italy albpaderno@gmail.com
Prof. Virgilijus Uloza, MD Lithuanian University of Health Sciences, Department of Otolaryngology, Kaunas, Lithuania virgilijus.ulozas@kaunoklinikos.lt
Neveen Nashaat, MD Asst. Prof. of Phoniatrics and Audiology, National Research Centre, Cairo, Egypt dr.neveennashaat@gmail.com
Projects and Presentations
Prof. Paavo Alku Lecture: Glottal Inverse Filtering and Its Application in Automatic Classification of Diseases
11th March 2024, 17:00 CET
The UEP Biomarker Committee held a meeting on March 11, 2024 (5–6pm Brussels time) exploring voice-related biomarkers for voice and swallowing problems in Parkinson's patients. Professor Paavo Alku from Aalto University (Finland) presented on inverse filtering of the voice signal — exploring glottal closure and aerodynamic voice dimensions via inverse filtering.
Abstract
A short introduction to glottal inverse filtering (GIF) methods covering the history, benefits and drawbacks of GIF, and the most common voice source parameters. The use of GIF and voice source parameters in machine learning-based classification of pathological speech is described, including experiments on automatic detection of Parkinson's disease and heart failure from speech.
Paavo Alku is 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 220 conference papers, and is a Fellow of IEEE and ISCA.
AI-Enhanced Voice Analysis for Neurological Diseases
Preliminary Technical Exploration by Alberto Paderno, Humanitas University
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Şimdi sayfanın tamamını bununla güncelleyeyim. Tüm `` ve `` bloklarını bu sisteme geçiriyorum:
```
Chair of the Committee
Assoc. Professor Mieke Moerman, MD, MSc, PhD President B-Laryphon | Board member UEP / EAP | Chair of UEP Biomarker Committee Founder of TELEPHON.digital BV, Ghent, Belgium mmoermanmdmscphd@gmail.com
Members of the Committee
Prof. Ahmed Abdelgoad ENT Department, Faculty of Medicine, Imam Abdulrahman Bin Faisal and Ain Shams University, Khobar, Saudi Arabia dr_mido1976@yahoo.com
Prof. Dr. Haldun OGUZ Department of Otolaryngology, Lokman Hekim University, Faculty of Medicine, Ankara, Turkiye oguz@phoniatrics.eu
Assoc. Prof. Dr. Ramón Hernández-Villoria, MD, MSc Centro Clínico de Audición y Lenguaje Cealca, Caracas, Venezuela ORCID | rhernandezv971@gmail.com
Prof. Daniele Farneti, MD Universities of Bologna, Parma and Ferrara; Pathophysiology of Vocal Production, Music Conservatory of Parma, Italy daniele.farneti@auslromagna.it
Ilona Kaminska, MD Phoniatric and Audiologic Department, University of Poznan, Poland kaminska.ilona@spsk2.pl
Alberto Paderno, MD University of Brescia, Otolaryngology – Head and Neck Surgery, Brescia, Italy albpaderno@gmail.com
Prof. Virgilijus Uloza, MD Lithuanian University of Health Sciences, Department of Otolaryngology, Kaunas, Lithuania virgilijus.ulozas@kaunoklinikos.lt
Neveen Nashaat, MD Asst. Prof. of Phoniatrics and Audiology, National Research Centre, Cairo, Egypt dr.neveennashaat@gmail.com
Projects and Presentations
Prof. Paavo Alku Lecture: Glottal Inverse Filtering and Its Application in Automatic Classification of Diseases
11th March 2024, 17:00 CET
The UEP Biomarker Committee held a meeting on March 11, 2024 (5–6pm Brussels time) exploring voice-related biomarkers for voice and swallowing problems in Parkinson's patients. Professor Paavo Alku from Aalto University (Finland) presented on inverse filtering of the voice signal — exploring glottal closure and aerodynamic voice dimensions via inverse filtering.
Abstract
A short introduction to glottal inverse filtering (GIF) methods covering the history, benefits and drawbacks of GIF, and the most common voice source parameters. The use of GIF and voice source parameters in machine learning-based classification of pathological speech is described, including experiments on automatic detection of Parkinson's disease and heart failure from speech.
Paavo Alku is 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 220 conference papers, and is a Fellow of IEEE and ISCA.
AI-Enhanced Voice Analysis for Neurological Diseases
Preliminary Technical Exploration by Alberto Paderno, Humanitas University
