Date of Award
5-2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Engineering and Sciences
First Advisor
Veton Z. Kepuska
Second Advisor
Samuel P. Kozaitis
Third Advisor
Marius C. Silaghi
Fourth Advisor
Philip J. Bernhard
Abstract
The goal of this project will be to explore cross-platform implementation of Wake-Up- Word (WUW). To enable the development of future speech-based artificial intelligence applications, it is important to have robust and accessible implementations of WUW. Adoption of Unix based operating systems continues to expand for server, backend, and embedded applications, therefore a WUW implementation in Unix will become essential. As web technologies continue to grow, WUW will also need to be implemented in web, using technologies such as JavaScript and Web Assembly (WASM). This project encompasses porting the previous implementation of WUW from Microsoft Windows to Unix, building a new WUW model with optimizations, and new front-end processing implementations in web technologies.
Recommended Citation
Woodle, Christopher Ryan, "Cross-platform Development of Wake-Up-Word" (2023). Theses and Dissertations. 1283.
https://repository.fit.edu/etd/1283