Voice signal processing for health applications.
Voice data contains rich biomarkers for health applications, including Parkinson's, Autism, Dementia, etc. In this project, we would like to use an end-to-end mobile/web-cloud system for voice biomarker identification in daily-life user voice.
The key components include:
A software tool for voice-based health screening.
Length of commitment | Longer than a semester; 6-9 months |
Start time | Anytime |
In-person, remote, or hybrid? | Hybrid |
Level of collaboration | Small group project (2-3 students) |
Benefits | Academic credit Work study Stipend |
Who is eligible | All undergraduate students |
Wenyao Xu
Professor
Computer Science and Engineering
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.
Computer Science and Engineering , Voice Biomarker, Machine Learning , programming