Using Aerodynamic Features and Their Uncertainty for the Ambulatory Assessment of Phonotraumatic Vocal Hyperfunction

Juan Pablo Cortes1, Víctor M. Espinoza, Marzyeh Ghassemi2, Daryush Mehta, Jarrad Van Stan, Robert Hillman, John Guttag, Matias Zañartu

  • 1Universidad Tecnica Federico Santa Maria
  • 2Massachusetts Institute of Technology

Details

18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO.22

Session: Poster Session # 1 and BSN Innovative Health Technology Demonstrations

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Abstract

The following work investigates the use of ambulatory voice data to classify subjects with a common voice disorder diagnosis by using features based on the glottal airflow waveform. A Kalman filter is used to determine the time-varying uncertainty of the glottal airflow waveform that will aid in improving the classification of these disorders in ambulatory, real-world settings.