Harmonic-to-noise ratio as speech biomarker for fatigue: K-nearest neighbour machine learning algorithm.

Journal: Medical journal, Armed Forces India
Published Date: Jan 16, 2023

Abstract

BACKGROUND: Vital information about a person's physical and emotional health can be perceived in their voice. After sleep loss, altered voice quality is noticed. The circadian rhythm controls the sleep cycle, and when it is askew, it results in fatigue, which is manifested in speech. Using MATLAB statistical techniques and the k-nearest neighbour (KNN) machine learning algorithm, this study assessed the efficacy of the harmonic-to-noise ratio (HNR) as a speech biomarker in differentiating fatigued and normal voice after sleep deprivation of one night.

Authors

  • Savita Gaur
    Scientist 'E' (Neurophysiology), DIPAS, DRDO, Timarpur, Delhi, India.
  • Priti Kalani
    ENT Specialist, Command Hospital (Air Force), Bengaluru, India.
  • M Mohan
    Associate Professor, Dayanand Sagar Univerity, Bengaluru, India.

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