Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/5015
Title: Building a mixed Vietnamese-English speech recognition solution
Other Titles: Xây dựng giải pháp nhận diện giọng nói hỗn hợp Việt - Anh
Authors: Nguyen, Huu Nhat Minh
Truong, Dinh Dung
Tran, Nguyen Anh
Vo, Van Nam
Keywords: Vietnamese-English
Phonology
Phoneme Recognition
Speech Recognition
Issue Date: 5-Jun-2025
Publisher: Vietnam-Korea University of Information and Communication Technology
Series/Report no.: NCKHSV;
Abstract: In this study, we propose a Vietnamese–English mixed speech recognition solution that introduces a novel approach: converting English phonetic structures into their approximate Vietnamese phonetic representations. This strategy aims to unify the pronunciation system, enabling deep learning models to better capture and decode speech in a code-switching context. Experimental results demonstrate that the proposed method significantly improves recognition accuracy on mixed-language speech and simplifies the handling of phonetic variability across languages. This solution shows strong potential for practical applications in multilingual virtual assistants, language learning, and real-time translation systems in Vietnamese–English bilingual environments.
Description: Kỷ yếu Nghiên cứu khoa học của sinh viên Trường Đại học Công nghệ Thông tin và Truyền thông Việt - Hàn năm học 2024-2025; trang 10-19.
URI: https://elib.vku.udn.vn/handle/123456789/5015
Appears in Collections:SV NCKH năm học 2024-2025

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