Improving the robustness to recognition errors in speech input question answering

Hideki Tsutsui*, Toshihiko Manabe, Mika Fukui, Tetsuya Sakai, Hiroko Fujii, Koji Urata

*この研究の対応する著者

研究成果

1 被引用数 (Scopus)

抄録

In our previous work, we developed a prototype of a speech-input help system for home appliances such as digital cameras and microwave ovens. Given a factoid question, the system performs textual question answering using the manuals as the knowledge source. Whereas, given a HOW question, it retrieves and plays a demonstration video. However, our first prototype suffered from speech recognition errors, especially when the Japanese interrogative phrases in factoid questions were misrecognized. We therefore propose a method for solving this problem, which complements a speech query transcript with an interrogative phrase selected from a pre-determined list. The selection process first narrows down candidate phrases based on co-occurrences within the manual text, and then computes the similarity between each candidate and the query transcript in terms of pronunciation. Our method improves the Mean Reciprocal Rank of top three answers from 0.429 to 0.597 for factoid questions.

本文言語English
ホスト出版物のタイトルInformation Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
出版社Springer Verlag
ページ297-312
ページ数16
ISBN(印刷版)3540457801, 9783540457800
DOI
出版ステータスPublished - 2006
外部発表はい
イベント3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
継続期間: 2006 10 162006 10 18

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4182 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference3rd Asia Information Retrieval Symposium, AIRS 2006
国/地域Singapore
CitySingapore
Period06/10/1606/10/18

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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