Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study - Report - MDSpire
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Identifying Pathological Voice Samples With a Text-to-Speech–Inspired Method: Development and Comparison of Multiple Model Architectures

  • By

  • Marie Sophie Walter

  • Muhittin Demir

  • Mattias Heinrich

  • Felix Nensa

  • Stephan Lang

  • Nadia Sadok

  • René Hosch

  • October 19, 2026

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Clinical Report: Identifying Pathological Voice Samples With a Text-to-Speech–Inspired Method: Development and Comparison of Multiple Model Architectures

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  3. Journal of Medical Internet Research — Beyond Identification: Utilizing Voice as a Clinical Biomarker
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  6. Accuracy of Cepstral Peak Prominence in the Identification of Voice Disorders: A Systematic Review With Meta-Analysis - ScienceDirect
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Original Source(s)

Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study

  • by Marie Sophie Walter, Muhittin Demir, Mattias Heinrich, Felix Nensa, Stephan Lang, Nadia Sadok, René Hosch

  • October 19, 2026

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