Name
Title | ||
|---|---|---|
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate |
Abstract | ||
|---|---|---|
Objectives: Evaluation of hypernasality requires extensive perceptual training by clinicians and extending this training on a large scale internationally is untenable; this compounds the health disparities that already exist among children with cleft. In this work, we present the objective hypernasality measure (OHM), a speech-based algorithm that automatically measures hypernasal... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TBME.2021.3058424 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Databases,Acoustics,Surgery,Feature extraction,Training,Reliability,Protocols | Journal | 68 |
Issue | ISSN | Citations |
10 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vikram C. Mathad | 1 | 0 | 1.35 |
| Nancy Scherer | 2 | 0 | 0.68 |
| Kathy Chapman | 3 | 0 | 0.68 |
| Julie Liss | 4 | 0 | 0.68 |
| Visar Berisha | 5 | 76 | 22.38 |