Automatic Assessment of Parkinsonian Speech

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Details

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

Klappentext

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


Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030656539
    • Editor Juan I. Godino-Llorente
    • Sprache Englisch
    • Auflage 1st edition 2020
    • Größe H235mm x B155mm x T8mm
    • Jahr 2021
    • EAN 9783030656539
    • Format Kartonierter Einband
    • ISBN 3030656535
    • Veröffentlichung 03.01.2021
    • Titel Automatic Assessment of Parkinsonian Speech
    • Untertitel First Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20-21, 2019, Revised Selected Papers
    • Gewicht 219g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 136
    • Lesemotiv Verstehen
    • Genre Informatik

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