A Survey of Vietnamese Automatic Speech Recognition

Cao Hong Nga, Chung Ting Li, Yung-Hui Li, Jia Ching Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publication2021 9th International Conference on Orange Technology, ICOT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665478427
DOIs
StatePublished - 2021
Event9th International Conference on Orange Technology, ICOT 2021 - Tainan, Taiwan
Duration: 16 Dec 202117 Dec 2021

Publication series

Name2021 9th International Conference on Orange Technology, ICOT 2021

Conference

Conference9th International Conference on Orange Technology, ICOT 2021
Country/TerritoryTaiwan
CityTainan
Period16/12/2117/12/21

Keywords

  • Speech recognition
  • Vietnamese speech recognition
  • acoustic model
  • language model

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