This book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held in Cambridge, Massachusetts, USA, in September 2019.
The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics, neurology, and speech therapy
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
6
6 s/w Abbildungen
IX, 125 p. 6 illus.
ISBN-13
978-3-030-65654-6 (9783030656546)
DOI
10.1007/978-3-030-65654-6
Schweitzer Klassifikation
Acoustic Analysis and Voice Quality in Parkinson Disease.- Sources of Intraspeaker Variation in Parkinsonian Speech related to Speaking Style.- Review of the prosodic aspect of speech for the automatic detection and assessment of Parkinson's disease.- Automatic processing of aerodynamic parameters in parkinsonian dysarthria.- Approaches to evaluate parkinsonian speech using artificial models.- Predicting UPDRS scores in Parkinson's disease using voice signals: a deep learning/transfer-learning-based approach.
