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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/180985 |
| _version_ | 1826114410582638592 |
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| author | Lee, Owen Jun Hao |
| author2 | Chng Eng Siong |
| author_facet | Chng Eng Siong Lee, Owen Jun Hao |
| author_sort | Lee, Owen Jun Hao |
| collection | NTU |
| description | 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. |
| first_indexed | 2025-03-09T11:06:52Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/180985 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T11:06:52Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1809852024-11-08T00:06:24Z Front-end development and deployment of local-based speech recognition system Lee, Owen Jun Hao Chng Eng Siong College of Computing and Data Science ASESChng@ntu.edu.sg Computer and Information Science Multilingual speech recognition React.js Speech-to-text System architecture RESTful API 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. Bachelor's degree 2024-11-08T00:06:24Z 2024-11-08T00:06:24Z 2024 Final Year Project (FYP) Lee, O. J. H. (2024). Front-end development and deployment of local-based speech recognition system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/180985 https://hdl.handle.net/10356/180985 en SCSE23-0806 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Multilingual speech recognition React.js Speech-to-text System architecture RESTful API Lee, Owen Jun Hao Front-end development and deployment of local-based speech recognition system |
| title | Front-end development and deployment of local-based speech recognition system |
| title_full | Front-end development and deployment of local-based speech recognition system |
| title_fullStr | Front-end development and deployment of local-based speech recognition system |
| title_full_unstemmed | Front-end development and deployment of local-based speech recognition system |
| title_short | Front-end development and deployment of local-based speech recognition system |
| title_sort | front end development and deployment of local based speech recognition system |
| topic | Computer and Information Science Multilingual speech recognition React.js Speech-to-text System architecture RESTful API |
| url | https://hdl.handle.net/10356/180985 |
| work_keys_str_mv | AT leeowenjunhao frontenddevelopmentanddeploymentoflocalbasedspeechrecognitionsystem |