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Automatic assessment of parkinsonian...
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Automatic Assessment of Parkinsonian Speech Workshop (2019 :)
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Automatic assessment of parkinsonian speech = first Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20-21, 2019 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Automatic assessment of parkinsonian speech/ edited by Juan I. Godino-Llorente.
Reminder of title:
first Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20-21, 2019 : revised selected papers /
remainder title:
AAPS 2019
other author:
Godino-Llorente, Juan I.
corporate name:
Automatic Assessment of Parkinsonian Speech Workshop
Published:
Cham :Springer International Publishing : : 2020.,
Description:
ix, 125 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Automatic speech recognition - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-65654-6
ISBN:
9783030656546
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] :AAPS 2019edited by Juan I. Godino-Llorente. - Cham :Springer International Publishing :2020. - ix, 125 p. :ill., digital ;24 cm. - Communications in computer and information science,12951865-0929 ;. - 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.
ISBN: 9783030656546
Standard No.: 10.1007/978-3-030-65654-6doiSubjects--Topical Terms:
840482
Automatic speech recognition
--Congresses.
LC Class. No.: TK7882.S65
Dewey Class. No.: 006.454
Automatic assessment of parkinsonian speech = first Workshop, AAPS 2019, Cambridge, Massachussets, USA, September 20-21, 2019 : revised selected papers /
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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.
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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.
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