A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.

Journal: The Laryngoscope
PMID: 33973649

Abstract

OBJECTIVES/HYPOTHESIS: An artificial intelligence (AI) tool was developed using audio clips of cis-male and cis-female voices based on spectral analysis to assess %probability of a voice being perceived as female (%Prob♀). This program was validated with 92% accuracy in cisgender speakers. The aim of the study was to assess the relationship of f on %Prob♀ by a validated AI tool in a cohort of trans females who underwent intervention to feminize their voice with behavioral modification and/or surgery.

Authors

  • Yael Bensoussan
    Morsani College of Medicine, University of South Florida, Tampa, FL, United States.
  • Christopher Park
    Kidney Research Institute, University of Washington, Seattle, WA, USA.
  • Michael Johns
    Caruso Department of Otolaryngology - Head and Neck Surgery, University of Southern California, Los Angeles, California, U.S.A.
  • Sarah Brown
    Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom.
  • Jeremy Pinto
    Mila, Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada.
  • Joseph Chang
    University of Passau, Passau, Germany.
  • Mark Courey
    Grabscheid Voice and Swallowing Center, Department of Otolaryngology-Head and Neck Surgery, Mount Sinai Health System, New York, New York, U.S.A.

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