- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Topic Identification of News Speech based on Keyword Spotting
-
- YOKOI Kentaro
- Department of Information Science, Kyoto University
-
- KAWAHARA Tatsuya
- Department of Information Science, Kyoto University
-
- DOSHITA Shuji
- Department of Information Science, Kyoto University
Bibliographic Information
- Other Title
-
- キーワードスポッティングに基づくニュース音声の話題同定
Search this article
Description
For efficient access to desired information from a large quantity of speech media, it is useful to index it with its topics. In this report, we study topic identification with keyword spotting and keyword selection, and apply them to news speech. For large vocabulary word spotting, we prepare two dictionaries. One is for keywords that contribute to the topic identification, and the other is for basic words that are used to approximate the input speech. For keyword selection, we adopt three criteria : mutual information with topics, similarity of the phone sequence, and its length. With the obtained dictionary sets, we have performed topic identification experiments both on news texts and speech.
Journal
-
- IPSJ SIG Notes
-
IPSJ SIG Notes 6 15-20, 1995-05-25
Information Processing Society of Japan (IPSJ)
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1570291227261350400
-
- NII Article ID
- 110002916957
-
- NII Book ID
- AN10442647
-
- ISSN
- 09196072
-
- Text Lang
- ja
-
- Data Source
-
- CiNii Articles