Developing age-specific protocols for pediatric voice databases in artificial intelligence research.

Journal: International journal of pediatric otorhinolaryngology
Published Date: Jul 5, 2025

Abstract

INTRODUCTION: Children's voice and communication abilities evolve with age, necessitating tailored protocols for accurate analysis. Distinct vocal properties and communication styles across developmental stages require specific tasks. The absence of standardized pediatric protocols impedes reliable voice data collection, limits robust acoustic measurements, and hinders AI-driven voice research. This study aims to develop age-specific voice data collection protocols, creating a pediatric voice database to advance research and enhance AI applications.

Authors

  • Laurie Russell
    Divisions of Communication Disorders & Otolaryngology - Head and Neck Surgery, The Hospital for Sick Children, Toronto, Canada.
  • Yael Bensoussan
    Morsani College of Medicine, University of South Florida, Tampa, FL, United States.
  • Evan Ng
    The Hospital for Sick Children, Toronto, Canada.
  • Allistair Johnson
    Department of Biostatistics, University of Toronto, Toronto, Canada.
  • Siyu Miao
    College of Electronic and Information Engineering, Hebei University, Baoding Hebei, China.
  • Nikolaus E Wolter
    Department of Otolaryngology- Head and Neck Surgery, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Evan J Propst
    Department of Otolaryngology-Head and Neck Surgery, Hospital for Sick Children, University of Toronto, Toronto, Canada.
  • Jennifer M Siu
    Department of Otolaryngology-Head and Neck Surgery, Hospital for Sick Children, University of Toronto, Toronto, Canada.

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