Automatic speech and singing classification in ambulatory recordings for normal and disordered voices

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Ambulatory voice monitoring is a promising tool for investigating phonotraumatic vocal hyperfunction (PVH), associated with the development of vocal fold lesions. Since many patients with PVH are professional vocalists, a classifier was developed to better understand phonatory mechanisms during speech and singing. Twenty singers with PVH and 20 matched healthy controls were monitored with a neck-surface accelerometer-based ambulatory voice monitor. An expert-labeled ground truth data set was used to train a logistic regression on 15 subject-pairs with fundamental frequency and autocorrelation peak amplitude as input features. Overall classification accuracy of 94.2% was achieved on the held-out test set.

Original languageEnglish (US)
Pages (from-to)EL22-EL27
JournalJournal of the Acoustical Society of America
Volume146
Issue number1
DOIs
StatePublished - Jul 1 2019
Externally publishedYes

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

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