Transformer-based joint learning approach for text normalization in Vietnamese Automatic Speech Recognition Systems

• Main Authors: BUI, The Viet, LUONG, Tho Chi, TRAN, Oanh Thi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: ASR; named entity recognition; post-processing; punctuator; text normalization; transformer-based joint learning models; Numerical Analysis and Scientific Computing; South and Southeast Asian Languages and Societies; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7591; https://ink.library.smu.edu.sg/context/sis_research/article/8594/viewcontent/TransformerBasedVietnameseASR_av.pdf
• Institution: Singapore Management University

In this article, we investigate the task of normalizing transcribed texts in Vietnamese Automatic Speech Recognition (ASR) systems in order to improve user readability and the performance of downstream tasks. This task usually consists of two main sub-tasks: predicting and inserting punctuation (i.e...