Relevant document retrieval using a spoken document

Akinori Ito, Yu Uno, Ryo Masumura, Masashi Ito, Shozo Makino

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

3 Citations (Scopus)

Abstract

In this paper, we proposed a method of retrieving documents from the World Wide Web using a spoken document as a "key." This method can be viewed as a speech version of an ordinary relevant document retrieval, where a text document is used as a query of retrieval. Basically the retrieval is based on an automatic transcription of a spoken document using a speech recognizer. The difficult point of this task is that the automatic transcription contains many recognition errors, therefore we cannot trust keywords extracted from the automatic transcription using conventional method such as tf·idf. To solve this problem, we developed three methods. The first one is to measure relevance of a keyword to the spoken document by using Web documents retrieved using a Web search engine by specifying the keyword as a query. The second one is to compose a query from the selected keywords so that words derive from misrecognitions are excluded and similar words are gathered. The third one is to measure relevance of a downloaded Web document to the spoken document. The experimental results suggest that the proposed methods are promising for retrieving relevant documents of a spoken document.

Original languageEnglish
Title of host publication2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
Pages1483-1488
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 9th International Symposium on Communications and Information Technology, ISCIT 2009 - Icheon, Korea, Republic of
Duration: 2009 Sep 282009 Sep 30

Publication series

Name2009 9th International Symposium on Communications and Information Technology, ISCIT 2009

Other

Other2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
CountryKorea, Republic of
CityIcheon
Period09/9/2809/9/30

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Software

Fingerprint Dive into the research topics of 'Relevant document retrieval using a spoken document'. Together they form a unique fingerprint.

  • Cite this

    Ito, A., Uno, Y., Masumura, R., Ito, M., & Makino, S. (2009). Relevant document retrieval using a spoken document. In 2009 9th International Symposium on Communications and Information Technology, ISCIT 2009 (pp. 1483-1488). [5341051] (2009 9th International Symposium on Communications and Information Technology, ISCIT 2009). https://doi.org/10.1109/ISCIT.2009.5341051