A language model for conversational speech recognition using information designed for speech translation

Hirofumi Yamamoto, Kouichi Tanigaki, Yoshinori Sagisaka

研究成果: Conference contribution

抄録

In this paper, a new language model is proposed for speech recognition in conversational speech translation. In conversation, speech strongly depends on the previous utterance of the other participant. Applying this dependency in language modeling, we can reduce the speech recognition error rate. To this end, we propose the following new language model where the content of the previous utterance is expressed by an interlingual representation which is widely used in the spoken language translation research group C-star. The proposed method reduces word error rate by 6% (from 14.7% to 13.9%), confirming our expectations.

本文言語English
ホスト出版物のタイトル6th International Conference on Spoken Language Processing, ICSLP 2000
出版社International Speech Communication Association
ISBN(電子版)7801501144, 9787801501141
出版ステータスPublished - 2000
外部発表はい
イベント6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
継続期間: 2000 10月 162000 10月 20

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
国/地域China
CityBeijing
Period00/10/1600/10/20

ASJC Scopus subject areas

  • 言語学および言語
  • 言語および言語学

フィンガープリント

「A language model for conversational speech recognition using information designed for speech translation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル