Robust and language-independent acoustic features in Parkinson's disease

Robust and language-independent acoustic features in Parkinson's disease

IntroductionThe analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech analysis embeds several complexities influenced by speaker characteristics (e.g., gender and language) and recording...

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Bibliographic Details
Main Authors: Sabrina Scimeca, Federica Amato, Gabriella Olmo, Francesco Asci, Antonio Suppa, Giovanni Costantini, Giovanni Saggio
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Neurology
Subjects:
speech analysis
acoustic features
Parkinson's disease
machine learning
statistical analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1198058/full

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https://www.frontiersin.org/articles/10.3389/fneur.2023.1198058/full

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