A Survey of Vietnamese Automatic Speech Recognition

EasyChair Preprint no. 7302

Abstract

In this paper, we survey Vietnamese automatic speech recognition (ASR). The objective of this survey is to provide an overview of the current status and remaining challenges of implementing a Vietnamese ASR. Recently, there are some studies on ASR for Vietnamese language; however, these studies encounter some obstacles and the results obtained compared to other languages such as English or Mandarin are lower. With regards to Vietnamese speech recognition, we will examine the methods of building a system along with speech data and text data collection techniques and available speech resources. We review both the methods applied to acoustic modeling and those used to language modeling. In addition, we convey some directions for future research.

Keyphrases: acoustic model, ASR system, Automatic Speech Recognition, continuous speech recognition system, dnn language model, gram language model, language model, speech recognition, Speech Recognition System, Vietnamese ASR, Vietnamese automatic speech recognition, Vietnamese language, vietnamese large vocabulary continuous speech, Vietnamese speech, Vietnamese speech recognition, vietnamese speech recognition system

@Booklet{EasyChair:7302,
  author = {Cao Hong Nga and Chung-Ting Li and Yung-Hui Li and Jia-Ching Wang},
  title = {A Survey of Vietnamese Automatic Speech Recognition},
  howpublished = {EasyChair Preprint no. 7302},

  year = {EasyChair, 2022}}