@article{Shimizu2008, 
author = {Tohru Shimizu and Yutaka Ashikari and Eiichiro Sumita and Jinsong ZHANG and Satoshi Nakamura},
title = {NICT/ATR Chinese-Japanese-English Speech-to-Speech Translation System},
year = {2008},
journal = {Tsinghua Science and Technology},
volume = {13},
number = {4},
pages = {540-544},
keywords = {machine translation, speech recognition, speech synthesis, speech-to-speech translation, large-scale corpus},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(08)70086-5},
doi = {10.1016/S1007-0214(08)70086-5},
abstract = {This paper describes the latest version of the Chinese-Japanese-English handheld speech-to-speech translation system developed by NICT/ATR, which is now ready to be deployed for travelers. With the entire speech-to-speech translation function being implemented into one terminal, it realizes real-time, location-free speech-to-speech translation. A new noise-suppression technique notably improves the speech recognition performance. Corpus-based approaches of speech recognition, machine translation, and speech synthesis enable coverage of a wide variety of topics and portability to other languages. Test results show that the character accuracy of speech recognition is 82%-94% for Chinese speech, with a bilingual evaluation understudy score of machine translation is 0.55-0.74 for Chinese-Japanese and Chinese-English.}
}