A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study - Summary - MDSpire

A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study

  • By

  • Arifa Zahir

  • Jaehong Yu

  • Jin-Sun Jun

  • Kiwon Park

  • Ryul Kim

  • Hyundoo Jeong

  • June 11, 2026

  • 0 min

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Objective:

To develop a multiview spectrogram-based deep learning architecture for noninvasive screening of Parkinson's disease using voice recordings.

Approach:
    Key Findings:
    • Add direct attribution to the source for each finding.
    Interpretation:

    Remove or rephrase to eliminate unsupported conclusions.

    Limitations:
    • Ensure limitations are directly sourced from the original material.
    Conclusion:

    Revise to avoid implications about clinical practice unless directly supported.

Original Source(s)

A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study

  • by Arifa Zahir, Jaehong Yu, Jin-Sun Jun, Kiwon Park, Ryul Kim, Hyundoo Jeong

  • June 11, 2026

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