Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns

Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns

Speech impairments often emerge as one of the primary indicators of Parkinson’s disease (PD), albeit not readily apparent in its early stages. While previous studies focused predominantly on binary PD detection, this research explored the use of deep learning models to automatically classify sustain...

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Bibliographic Details
Main Authors: Hadi Sedigh Malekroodi, Nuwan Madusanka, Byeong-il Lee, Myunggi Yi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Bioengineering
Subjects:
Parkinson’s disease (PD)
deep learning
transfer learning
speech analysis
mel spectrogram
Online Access:https://www.mdpi.com/2306-5354/11/3/295

Internet

https://www.mdpi.com/2306-5354/11/3/295

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