Ongoing
Speech-to-Text Engine for Low-Resource Languages
Dec 2024 – Present
Overview
This initiative explores the integration of machine learning models with embedded hardware platforms to enable real-time decision-making at the edge.
Funding
- Source
- NSF
- Amount
- $405k
Members
- Prof. Dr. Jee-Youl Ryu · Professor, Co-Supervisor
- Dr. Luisa Lakin · Professor
- Mst Farjana Aktar · MSc
- Lee Sun-woo · PhD
- Kamille Runte · BSc