Automatic Assessment of Parkinsonian Speech First Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20–21, 2019, Revised Selected Papers /
Automatic Assessment of Parkinsonian Speech First Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20–21, 2019, Revised Selected Papers / [electronic resource] :
edited by Juan I. Godino-Llorente.
- 1st ed. 2020.
- IX, 125 p. 6 illus. online resource.
- Communications in Computer and Information Science, 1295 1865-0937 ; .
- Communications in Computer and Information Science, 1295 .
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.
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.
9783030656546
10.1007/978-3-030-65654-6 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Computer vision.
Social sciences--Data processing.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Vision.
Computer Application in Social and Behavioral Sciences.
Computer Communication Networks.
Q334-342 TA347.A78
006.3
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.
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.
9783030656546
10.1007/978-3-030-65654-6 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Computer vision.
Social sciences--Data processing.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Vision.
Computer Application in Social and Behavioral Sciences.
Computer Communication Networks.
Q334-342 TA347.A78
006.3