Speech Therapy Web App Using Speech To Text

Project Description

Speech Therapy Web App — Research shows that about 8% of children need speech therapy globally. There are many speech therapy apps intended for children in the market, but many of them are expensive, not intuitive for children, or too simplistic for therapists. This project aims to create an affordable application for speech therapy, with a dynamic user-interface system that adjusts its content for individual users in a secure and intuitive environment that is useful to children, therapists and researchers alike.

Team: Dialectric

Members

Ian Wood, Computer Engr.
Yiqing Ma, Computer Science
Lucas Jackson, Computer Science

Sponsor

Eric Booth, Micron Foundation

Faculty Advisor

Feng Li, Dept. of Electrical & Computer Engineering