Second International Workshop, AAPS 2024, Cambridge, MA, USA, November 21-22, 2024, Revised Selected Papers Herausgegeben:Godino Llorente, Juan Ignacio
Second International Workshop, AAPS 2024, Cambridge, MA, USA, November 21-22, 2024, Revised Selected Papers Herausgegeben:Godino Llorente, Juan Ignacio
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.
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2646
Artikelnr. des Verlages: 89542497, 978-3-032-07082-1
Seitenzahl: 119
Erscheinungstermin: 21. November 2025
Englisch
Abmessung: 235mm x 155mm
ISBN-13: 9783032070821
ISBN-10: 3032070821
Artikelnr.: 75270768
Herstellerkennzeichnung
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
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Inhaltsangabe
.- 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.
.- 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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