Web interface for ASR transcriber

• Main Author: Nguyen Dinh Le Dan
• Other Authors: Chng Eng Siong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Software::Software engineering
• Online Access: https://hdl.handle.net/10356/147957
• Institution: Nanyang Technological University

With the rise of artificial intelligence and machine learning, speech-to-text (STT) technology has become more accurate and precise than ever. Since its conception, STT has proven to have a huge potential in many fields, one of them obviously being transcribing. Transcribing is an act of making a wr...