A statistical language model for conventional speech reflecting the previous utterance of the other participant
Hirofumi Yamamoto, Koichi Tanigaki, Yoshinori Sagisaka · Electronics and Communications in Japan (Part II Electronics) · 2003
Abstract This paper proposes the construction of a language model for speech recognition in speech translation. The proposed language model is intended to improve speech recognition performance by taking account of the previous utterance content of the counterpart speaker. The previous utterance content of the counterpart speaker is represented by the intermediate language which is generally used by C‐star (Spoken Language Translation Research Group). The proposed model is based on a language model that is dependent on the intermediate language representation. An experiment concerning the conversation of hotel reservations shows that the rate of incorrect word recognition is reduced by approximately 5.4% (from 14.7% to 13.9%), and the usefulness of the proposed model is demonstrated. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 87(1): 54–62, 2004; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecjb.10211