A Statistical Language Model for Conventional Speech Reflecting the Previous Utterance of the Other Participant

Hirofumi Yamamoto*, Koichi Tanigaki, Yoshinori Sagisaka

*この研究の対応する著者

研究成果査読

抄録

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.

本文言語English
ページ(範囲)54-62
ページ数9
ジャーナルElectronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi)
87
1
DOI
出版ステータスPublished - 2004 1
外部発表はい

ASJC Scopus subject areas

  • 物理学および天文学(全般)
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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