Zheng Zeng∗
Computer Systems Science and Engineering, Vol.35, No.5, pp. 377-383, 2020, DOI: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… More >
Login
Register
