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

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

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 maintain...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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