Improving the robustness to recognition errors in speech input question answering

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
PublisherSpringer Verlag
Pages297-312
Number of pages16
ISBN (Print)3540457801, 9783540457800
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
Duration: 2006 Oct 162006 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4182 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Asia Information Retrieval Symposium, AIRS 2006
CountrySingapore
CitySingapore
Period06/10/1606/10/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tsutsui, H., Manabe, T., Fukui, M., Sakai, T., Fujii, H., & Urata, K. (2006). Improving the robustness to recognition errors in speech input question answering. In Information Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings (pp. 297-312). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4182 LNCS). Springer Verlag. https://doi.org/10.1007/11880592_23