Presentation 2012-02-10
Effects of continuous syllable recognition and query expansion for spoken document retrieval
Hiromasa OHASHI, Satoru TSUGE, Norihide KITAOKA, Kazuya TAKEDA, Kenji KITA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a spoken document retrieval method which combines query expansion with continuous syllable recognition. The proposed method expands a query by using words from the web pages collected by a search engine. It is assumed that relevant document vectors exist on the plane which is constructed from the query vector and the extended vector. The weight parameter between a target document vector and a query vector is calculated for query expansion. In addition, target documents are mapped not only to space constructed by continuous word speech recognition results, but also to space constructed by syllable speech recognition results. Then, we conducted spoken document retrieval experiments. The experimental results showed that the proposed method improved the mean average precision source from the baseline 0.393 to 0.406.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Spoken Document Retrieval / Vector Space Model / Query Expansion / Continuous Syllable Recognition
Paper # PRMU2011-239,SP2011-154
Date of Issue

Conference Information
Committee SP
Conference Date 2012/2/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effects of continuous syllable recognition and query expansion for spoken document retrieval
Sub Title (in English)
Keyword(1) Spoken Document Retrieval
Keyword(2) Vector Space Model
Keyword(3) Query Expansion
Keyword(4) Continuous Syllable Recognition
1st Author's Name Hiromasa OHASHI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Satoru TSUGE
2nd Author's Affiliation Daido University
3rd Author's Name Norihide KITAOKA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Kazuya TAKEDA
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Kenji KITA
5th Author's Affiliation The University of Tokushima
Date 2012-02-10
Paper # PRMU2011-239,SP2011-154
Volume (vol) vol.111
Number (no) 431
Page pp.pp.-
#Pages 6
Date of Issue