Offline web application subtitle editor
The Covid-19 pandemic has led to a sudden shift in online learning. Regardless of how clear a recording is, students may still miss important keywords or misunderstand concepts. This is where transcription comes in, it provides clarification to both educators and students, and allows educators to fo...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/165981 |
| _version_ | 1811692435869270016 |
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| author | Ang, Jia Ning Min |
| author2 | Chng Eng Siong |
| author_facet | Chng Eng Siong Ang, Jia Ning Min |
| author_sort | Ang, Jia Ning Min |
| collection | NTU |
| description | The Covid-19 pandemic has led to a sudden shift in online learning. Regardless of how clear a recording is, students may still miss important keywords or misunderstand concepts. This is where transcription comes in, it provides clarification to both educators and students, and allows educators to focus on overarching topics since time is saved from answering semantical or repeated questions. By providing students with access to content of the lesson in different forms, institutions can provide distinguished online lessons that match traditional in-class lessons.
Magor is a transcription tool developed by SCSE’s Speech and Indexing Laboratory that is aimed to provide transcription services to educators in NTU. It is an existing software that will be built on in this report. We will explore new features that can be added into Magor through an analysis of existing transcription tools and their features that are potentially useful in our use case. At the same time, testing of Magor will be conducted to identify and fix areas of improvements or bugs in the software. In the implementation stage, various methods will be explored and the most suitable solution will be chosen for each problem identified.
The report will then be concluded with future work to be done in Magor, in terms of new features that can be added and existing areas of improvements or bugs that should be fixed. The issues addressed throughout the duration of this project has significantly improved the performance of Magor and can possibly result in increased adoption rates of its transcription service across other faculties in NTU. |
| first_indexed | 2024-10-01T06:35:45Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/165981 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:35:45Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1659812023-04-21T15:37:59Z Offline web application subtitle editor Ang, Jia Ning Min Chng Eng Siong School of Computer Science and Engineering ASESChng@ntu.edu.sg Engineering::Computer science and engineering The Covid-19 pandemic has led to a sudden shift in online learning. Regardless of how clear a recording is, students may still miss important keywords or misunderstand concepts. This is where transcription comes in, it provides clarification to both educators and students, and allows educators to focus on overarching topics since time is saved from answering semantical or repeated questions. By providing students with access to content of the lesson in different forms, institutions can provide distinguished online lessons that match traditional in-class lessons. Magor is a transcription tool developed by SCSE’s Speech and Indexing Laboratory that is aimed to provide transcription services to educators in NTU. It is an existing software that will be built on in this report. We will explore new features that can be added into Magor through an analysis of existing transcription tools and their features that are potentially useful in our use case. At the same time, testing of Magor will be conducted to identify and fix areas of improvements or bugs in the software. In the implementation stage, various methods will be explored and the most suitable solution will be chosen for each problem identified. The report will then be concluded with future work to be done in Magor, in terms of new features that can be added and existing areas of improvements or bugs that should be fixed. The issues addressed throughout the duration of this project has significantly improved the performance of Magor and can possibly result in increased adoption rates of its transcription service across other faculties in NTU. Bachelor of Business Bachelor of Engineering (Computer Science) 2023-04-18T02:58:47Z 2023-04-18T02:58:47Z 2023 Final Year Project (FYP) Ang, J. N. M. (2023). Offline web application subtitle editor. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165981 https://hdl.handle.net/10356/165981 en SCSE22-0082 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Ang, Jia Ning Min Offline web application subtitle editor |
| title | Offline web application subtitle editor |
| title_full | Offline web application subtitle editor |
| title_fullStr | Offline web application subtitle editor |
| title_full_unstemmed | Offline web application subtitle editor |
| title_short | Offline web application subtitle editor |
| title_sort | offline web application subtitle editor |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/165981 |
| work_keys_str_mv | AT angjianingmin offlinewebapplicationsubtitleeditor |