Speech and Language Processing for Generating Content Description Metadata for Broadcast News

Yoshihiko Hayashi, Shoichi Matsunaga, Yoshihiro Matsuo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

With metadata considered to be a key issue in deploying advanced content services on broadband networks, there is a growing demand for methods of efficiently creating metadata or metadata elements that describe semantic content. This article introduces an approach to improving the efficiency of generating content description metadata for broadcast news programs by using speech recognition and natural language processing.

Original languageEnglish
Pages (from-to)62-65
Number of pages4
JournalNTT Technical Review
Volume1
Issue number3
Publication statusPublished - 2003 Jun

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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