Web-based speech recognition platform SG decoding
This project aims to improve a speech-to-text web application that enables users to transcribe audio both offline and in real-time using their microphone. It introduces new features, such as live transcription and collaborative editing, to enable users to transcribe audio in real-time, create notes,...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165933 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-165933 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1659332023-04-21T15:38:21Z Web-based speech recognition platform SG decoding Lie, Aileen Laksmono Chng Eng Siong School of Computer Science and Engineering ASESChng@ntu.edu.sg Engineering::Computer science and engineering::Software::Software engineering This project aims to improve a speech-to-text web application that enables users to transcribe audio both offline and in real-time using their microphone. It introduces new features, such as live transcription and collaborative editing, to enable users to transcribe audio in real-time, create notes, and collaborate with colleagues. These features address the growing demand for efficient note-taking tools and remote collaboration, especially in light of the pandemic. The project also uses modern cloud technologies to enhance the web application’s reliability, security, and scalability. The report outlines the steps taken to complete the project, including requirement gathering, UI and system design, implementation, testing, and deployment. Bachelor of Engineering (Computer Science) 2023-04-18T06:28:44Z 2023-04-18T06:28:44Z 2023 Final Year Project (FYP) Lie, A. L. (2023). Web-based speech recognition platform SG decoding. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165933 https://hdl.handle.net/10356/165933 en SCSE22-0085 application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Computer science and engineering::Software::Software engineering |
spellingShingle |
Engineering::Computer science and engineering::Software::Software engineering Lie, Aileen Laksmono Web-based speech recognition platform SG decoding |
description |
This project aims to improve a speech-to-text web application that enables users to transcribe audio both offline and in real-time using their microphone. It introduces new features, such as live transcription and collaborative editing, to enable users to transcribe audio in real-time, create notes, and collaborate with colleagues. These features address the growing demand for efficient note-taking tools and remote collaboration, especially in light of the pandemic. The project also uses modern cloud technologies to enhance the web application’s reliability, security, and scalability. The report outlines the steps taken to complete the project, including requirement gathering, UI and system design, implementation, testing, and deployment. |
author2 |
Chng Eng Siong |
author_facet |
Chng Eng Siong Lie, Aileen Laksmono |
format |
Final Year Project |
author |
Lie, Aileen Laksmono |
author_sort |
Lie, Aileen Laksmono |
title |
Web-based speech recognition platform SG decoding |
title_short |
Web-based speech recognition platform SG decoding |
title_full |
Web-based speech recognition platform SG decoding |
title_fullStr |
Web-based speech recognition platform SG decoding |
title_full_unstemmed |
Web-based speech recognition platform SG decoding |
title_sort |
web-based speech recognition platform sg decoding |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/165933 |
_version_ |
1764208052603453440 |