Artificial Intelligence-Based Hypernasality Diagnosis Using CAPS-A-AM Rated Speech Samples in Pediatric Velopharyngeal Dysfunction Article

Halsey, Jordan N, Ghogomu, Mbinui N, MacIsaac, Molly F et al. (2026). Artificial Intelligence-Based Hypernasality Diagnosis Using CAPS-A-AM Rated Speech Samples in Pediatric Velopharyngeal Dysfunction . Cleft Palate-Craniofacial Journal, 10.1177/10556656261487525

cited authors

  • Halsey, Jordan N; Ghogomu, Mbinui N; MacIsaac, Molly F; Vieux, Jamilla; Sommer, Chelsea L; Wright, Joshua M; Bahr, Ruth H; Ahumada, Luis M; Alex Rottgers, S

authors

publication date

  • September 18, 2026

published in

keywords

  • ACOUSTIC ANALYSIS
  • ASSOCIATION
  • CLEFT-PALATE
  • Dentistry, Oral Surgery & Medicine
  • FEATURES
  • FREQUENCY
  • LIP
  • Life Sciences & Biomedicine
  • OUTCOMES
  • PALATOPLASTY
  • Science & Technology
  • Surgery
  • acoustics
  • artificial intelligence
  • cleft palate
  • hypernasality
  • pediatrics
  • resonance
  • speech assessment
  • velopharyngeal dysfunction
  • velopharyngeal function

Digital Object Identifier (DOI)

publisher

  • SAGE PUBLICATIONS INC