Front-end development and deployment of local-based speech recognition system

• Main Author: Lee, Owen Jun Hao
• Other Authors: Chng Eng Siong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Multilingual speech recognition; React.js; Speech-to-text; System architecture; RESTful API
• Online Access: https://hdl.handle.net/10356/180985
• Institution: Nanyang Technological University

This Final Year Project focuses on enhancing and locally deploying SG Decoding, a full stack web application for multilingual speech recognition and transcription. The primary objectives were to refine the front-end interface, optimize performance, and adapt the system for offline use while maintaining its core functionalities. The project aimed to improve upon existing systems by bringing SG Decoding to the local environment, eliminating the need for an internet connection, enhancing security and user data privacy, enabling feature toggle management, and reducing server infrastructure requirements. This report details the complete project life-cycle, including analysis of the existing system, requirement gathering, improvements to front-end system architecture, implementation of local environment deployment, testing and final deployment.