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,...

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Bibliographic Details
Main Author: Lie, Aileen Laksmono
Other Authors: Chng Eng Siong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165933
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.