Open Access

ARTICLE

Implementation of Embedded Technology-Based English Speech Identification and Translation System

Zheng Zeng^∗

Chengdu Technological University, Chengdu, Sichuan 611730, China

* Corresponding Author: Zheng Zeng,

Computer Systems Science and Engineering 2020, 35(5), 377-383. https://doi.org/10.32604/csse.2020.35.377

Abstract

Due to the increase in globalization, communication between different countries has become more and more frequent. Language barriers are the most important issues in communication. Machine translation is limited to texts, and cannot be an adequate substitute for oral communication. In this study, a speech recognition and translation system based on embedded technology was developed for the purpose of English speech recognition and translation. The system adopted the Hidden Markov Model (HMM) and Windows CE operating system. Experiments involving English speech recognition and EnglishChinese translation found that the accuracy of the system in identifying English speech was about 88%, and the accuracy rate of the system in translating English to Chinese was over 85%. The embedded technology-based English speech recognition and translation system demonstrated a level of high accuracy in speech identification and translation, demonstrating its value as a practical application. Therefore, it merits further research and development.

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