A Review on Speech Recognition for Under-Resourced Languages

IF 0.6 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

International Journal of Knowledge and Systems Science Pub Date : 2023-10-27 DOI:10.4018/ijkss.332869

Trung-Nghia Phung, Duc-Binh Nguyen, Ngoc-Phuong Pham

引用次数: 0

Abstract

Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on speech recognition in general as well as speech recognition in Vietnamese, an under-resourced language in particular. Then, it specifies the urgent issues that need current research attention to build Vietnamese speech recognition applications in practice, especially the need to build an open large sentence-labeled speech corpus and open platform for related research, which mostly benefits small individuals/organizations who do not have enough resources.

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资源不足语言语音识别研究进展

高资源语言的基本语音识别技术目前成功地使用深度学习模型构建高质量的应用程序。然而，将这些语音识别技术“借用”到越南语等资源不足的语言中仍然存在挑战。本研究回顾了语音识别的基本研究，特别是越南语的语音识别，这是一种资源不足的语言。然后，明确了构建越南语语音识别应用在实践中急需关注的研究问题，特别是需要建立一个开放的大型句子标记语音语料库和开放的相关研究平台，这主要有利于没有足够资源的小型个人/组织。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Knowledge and Systems Science OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

3.00

自引率

10.00%

发文量

期刊介绍： The mission of the International Journal of Knowledge and Systems Science (IJKSS) is to promote the development of knowledge science and systems science as well as the collaboration between the two sciences among academics and professionals from various disciplines around the world. IJKSS establishes knowledge and systems science as a vigorous academic discipline in universities. Targeting academicians, professors, students, practitioners, and field specialists, this journal covers the development of new paradigms in the understanding and modeling of human knowledge process from mathematical, technical, social, psychological, and philosophical frameworks. The International Journal of Knowledge and Systems Science was originally launched by the International Society of Knowledge and Systems Science, which was initiated in 2000 in Japan and founded by Prof. Y. Nakamori, Professor Z. T. Wang and Professor J. Gu in 2003 in Guangzhou. Professor Z. T. Wang was its Founding Editor.