Investigating the role of artificial intelligence in predicting perceived dysphonia level.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 39174679

Abstract

PURPOSE: This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.

Authors

  • Saeed Saeedi
    Independent Researcher in Laryngology, Voice Pathology, and Speech-Language Pathology, Tehran, Iran.
  • Mahshid Aghajanzadeh
    Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Enghelab Avenue, Pitch-e-Shemiran, Tehran, 11489, Iran. mahshid_aghajanzade@yahoo.com.

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