This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages. As not much existing work has been carried out on such regional languages, a few difficulties should be addressed before building the systems: limitation on speech and text resources, lack of linguistic knowledge, etc. This work takes Bahasa Indonesia and Thai as examples to illustrate the strategies of collecting various resources required for building ASR systems.
@article{arxiv.2210.03580,
title = {Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages},
author = {Lei Wang and Rong Tong and Cheung Chi Leung and Sunil Sivadas and Chongjia Ni and Bin Ma},
journal= {arXiv preprint arXiv:2210.03580},
year = {2022}
}
Comments
Published by the 2017 IEEE International Conference on Orange Technologies (ICOT 2017)