Have We Solved Glottis Segmentation? Review and Commentary.

Journal: Journal of voice : official journal of the Voice Foundation
PMID: 39645484

Abstract

Quantification of voice physiology has been a key research goal. Segmenting the glottal area to describe the vocal fold motion has seen increased attention in the last two decades. However, researchers struggled to fully automatize the segmentation task. With the advent of deep learning, fully automated solutions are within reach and have been proposed. Are we then done here? This commentary highlights the open construction sites and how glottis segmentation can be still of scientific interest in this decade.

Authors

  • Andreas M Kist
    Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology-Head & Neck Surgery, University Hospital Erlangen, Germany.
  • Michael D Llinger
    Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universit.±t Erlangen-N..rnberg (FAU), 91054 Erlangen, Germany.

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