TR-I-0123 :1989. 11

丸山活輝, 中村雅己, 川端豪, 鹿野清宏

HMM 音韻連結学習とNETgramを用いた 英単語音声の認識

Abstract:For realizing an interpreting telephony system, an accurate word recognition system is necessary. Because it is difficult to recognize English words using only their acoustical characteristics, an accurate word recognition system needs certain linguistic information. The NETgram, which is trained using Brown Corpus is applied to HMM English word recognition. NETgram can correct word recognition errors effectively. NETgram improved the word recognition rate from 81.0 to 86.9%. The performance is improved over that of traditional statistical trigram models.