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

Adult 03 medical and health sciences Voice Disorders 0302 clinical medicine Voice Humans Monitoring, Ambulatory Singing Speech Female Vocal Cords 0305 other medical science
DOI: 10.1121/1.5115804 Publication Date: 2019-07-11T15:26:22Z
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.
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