Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/165933
Title: | Web-based speech recognition platform SG decoding | Authors: | Lie, Aileen Laksmono | Keywords: | Engineering::Computer science and engineering::Software::Software engineering | Issue Date: | 2023 | Publisher: | Nanyang Technological University | Source: | 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 | Project: | SCSE22-0085 | Abstract: | 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. | URI: | https://hdl.handle.net/10356/165933 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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AileenLaksmonoLie_FYP_Report.pdf Restricted Access | 7.08 MB | Adobe PDF | View/Open |
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