Offline web subtitle editor

• Main Author: Yeo, Desmond Kok Leong
• Other Authors: Chng Eng Siong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Software
• Online Access: https://hdl.handle.net/10356/148184
• Institution: Nanyang Technological University

With the rapid advancement of technology, digital video has become very popular due to the entertainment it brings to the viewer. Billions of new videos and audios data are uploaded every day. Some videos have close captioning, which allow a wide range of audience to understand the video. To cater to a larger audience, many producers or content developer will include a subtitle or close caption. Some choose to do manual transcription while others make use of speech recognition technology to perform automatic transcription. There is much software in the market available that provide automatic transcription services. However, some software can perform both real-time transcription and video/audio transcription while others only either of them. Furthermore, some of this software can only transcribe the English language and none of the software allows code-switching. In this report, we will analyse the different technologies and transcribing tools in the market to create a complete automatic speech recognition solution