Automatic Assessment of Parkinsonian Speech: Second International Workshop, AAPS 2024, Cambridge, MA, USA, November 21–22, 2024, Revised Selected Papers

Author:   Juan Ignacio Godino Llorente
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032070821


Pages:   119
Publication Date:   27 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Automatic Assessment of Parkinsonian Speech: Second International Workshop, AAPS 2024, Cambridge, MA, USA, November 21–22, 2024, Revised Selected Papers


Overview

This book constitutes the revised and extended papers of the Second Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2024, held in Cambridge, Massachusetts, USA, in November 21–22, 2024 The 8 full papers were thoroughly reviewed and selected from 14 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.

Full Product Details

Author:   Juan Ignacio Godino Llorente
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032070821


ISBN 10:   3032070821
Pages:   119
Publication Date:   27 December 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Speech-Based Detection of Parkinson's Disease in Low-Resourced Languages: A 20-Year Journey Through Speech Processing and Machine Learning Techniques. .- Speech Pattern Variability in the Speech Accessibility Project. .- A Survey of Open Voice and Speech Datasets for the Screening and Evaluation of Parkinson’s Disease. .- Attention Maps for Explainable Classification ofParkinson’s Disease using Mel filterbank-based CTNets. .- Learning representation models for interpretable automatic phonemic grouping of the Parkinsonian speech. .- Rapid Eye Movement Sleep Behavior Disorder: An insight into the prodromal Parkinson’s Disease Speech. .- Leveraging Reverberation Time as an Acoustic Biomarker for Speech Impairment in Parkinson Disease. .- Exploring the Complexity of Parkinson’s Patient Speech for Depression Detection task: A Qualitative Analysis.

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