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Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition

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Deep Learning Theory and Applications (DeLTA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1875))

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Abstract

Parkinson’s disease is a common neurological condition that occurs when dopamine production in the brain decreases significantly due to the degeneration of neurons in an area called the substantia nigra. One of its characteristics is the slow and gradual onset of symptoms, which are varied and include tremors at rest, rigidity, and slow speech. Voice changes are very common among patients, so analysis of voice recordings could be a valuable tool for early diagnosis of the disease. This study proposes an approach that compares different Machine Learning models for the diagnosis of the disease through the use of vocal recordings of the vowel a made by both healthy and sick patients and the identification of the subset of the most significant features The experiments were conducted on a data set available on the UCI repository, which collects 756 different recordings. The results obtained are very encouraging, reaching an F-score of 95%, which demonstrates the effectiveness of the proposed approach.

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Notes

  1. 1.

    https://urly.it/3t259.

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Author information

Authors and Affiliations

  1. University of Sannio, Department of Engineering, Benevento, Italy

    Lerina Aversano, Mario L. Bernardi, Martina Iammarino, Antonella Madau & Chiara Verdone

  2. Unitelma Sapienza University, Rome, Italy

    Marta Cimitile

Authors
  1. Lerina Aversano
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  2. Mario L. Bernardi
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  3. Marta Cimitile
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  4. Martina Iammarino
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  5. Antonella Madau
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  6. Chiara Verdone
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Corresponding author

Correspondence to Lerina Aversano .

Editor information

Editors and Affiliations

  1. Université de Tours, Tours, France

    Donatello Conte

  2. Instituto de Telecomunicações and University of Lisbon, Lisbon, Portugal

    Ana Fred

  3. Ford Motor Company, Commerce Township, MI, USA

    Oleg Gusikhin

  4. University of Naples Federico II, Naples, Italy

    Carlo Sansone

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Aversano, L., Bernardi, M.L., Cimitile, M., Iammarino, M., Madau, A., Verdone, C. (2023). Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition. In: Conte, D., Fred, A., Gusikhin, O., Sansone, C. (eds) Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science, vol 1875. Springer, Cham. https://doi.org/10.1007/978-3-031-39059-3_7

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  • DOI: https://doi.org/10.1007/978-3-031-39059-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39058-6

  • Online ISBN: 978-3-031-39059-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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