Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Acoustics | 1 |
| Artificial Intelligence | 1 |
| Feasibility Studies | 1 |
| German | 1 |
| Mandarin Chinese | 1 |
| Models | 1 |
| Screening Tests | 1 |
| Voice Disorders | 1 |
| Vowels | 1 |
Source
| International Journal of… | 1 |
Author
| Chen, Zhen | 1 |
| Guo, Jiajie | 1 |
| Li, Yike | 1 |
| Qiu, Wei | 1 |
| Zhu, Peixi | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkChen, Zhen; Zhu, Peixi; Qiu, Wei; Guo, Jiajie; Li, Yike – International Journal of Language & Communication Disorders, 2023
Background: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features. Aims: To develop a generalizable DL framework for identifying dysphonia using a…
Descriptors: Voice Disorders, Acoustics, Mandarin Chinese, German
