A Review on Speech Recognition for Under-Resourced Languages-Reference-Cited by-同舟云学术

A Review on Speech Recognition for Under-Resourced Languages

Published:2023-10-27 Issue:1 Volume:15 Page:1-16
ISSN:1947-8208
Container-title:International Journal of Knowledge and Systems Science
language:ng
Short-container-title:

Author:

Phung Trung-Nghia¹,Nguyen Duc-Binh¹,Pham Ngoc-Phuong²

Affiliation:

1. Thai Nguyen University of Information and Communication Technology, Vietnam

2. Thai Nguyen University, Vietnam

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.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

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