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 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.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (12)
CITATIONS (15)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....