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
AUTHORS (7)
ABSTRACT
Ambulatory voice monitoring is a promising tool for investigating phonotraumatic vocal hyperfunction (PVH), associated with the development of fold lesions. Since many patients PVH are professional vocalists, classifier was developed to better understand phonatory mechanisms during speech and singing. Twenty singers 20 matched healthy controls were monitored neck-surface accelerometer–based ambulatory monitor. An expert-labeled ground truth data set used train logistic regression on 15 subject-pairs fundamental frequency autocorrelation peak amplitude as input features. Overall classification accuracy 94.2% achieved held-out test set.
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