A stochastic speech understanding method to generate interlingual representations

Koichi Tanigaki*, Yoshinori Sagisaka

*この研究の対応する著者

研究成果査読

抄録

The purpose of this paper is to create an understanding system that can reduce the recognition error that prevents semantic analysis, and that is robust to speech input. A method is proposed in which semantic analysis and speech recognition are integrated on the basis of a statistical model, and the procedure is optimized as a high-level recognition process from speech to semantics. As a method of realizing the idea effectively and efficiently, search of the word graph by means of a decision tree is proposed. Using the proposed method, an identification experiment is performed for the semantics represented by the intermediate language. It is a problem of segmentation of utterances into an average of 1.6 semantic units, and the assignment of the semantic units to 7600 classes characterized by combinations of utterance action and concept. In the speech recognition experiment the understanding error is improved by 8.5% compared to the case in which the 1-best recognition candidate is input.

本文言語English
ページ(範囲)52-62
ページ数11
ジャーナルSystems and Computers in Japan
33
3
DOI
出版ステータスPublished - 2002 3 1
外部発表はい

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 情報システム
  • ハードウェアとアーキテクチャ
  • 計算理論と計算数学

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