Skip to main content
SpringerLink
Log in

News Dictation and Article Classification Using Automatically Extracted Announcer Utterance

  • Conference paper
  • First Online:
Advanced Multimedia Content Processing (AMCP 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1554))

Included in the following conference series:

Abstract

In order to construct a news database with a function of video on demand (VOD), it is required to classify news articles into topics. In this study, we describe a system which can dictate news speech, extract keywords and classify news articles based on the extracted keywords. We propose that it is sufficient to dictate only the announcer utterance in classifying the news articles and it contributes to reduce the processing time. As an experiment, we compared the classification performance of news articles in two cases; dictating only the announcer utterances which are automatically extracted and dictating a whole speech which includes reporter or interviewer utterances.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Y. Ariki, M. Sakurai and Y. Sugiyama: “ Article Extraction and Classification of TV News Using Image and Speech Processing”, CODAS96 (International Symposium on Cooperative Database Systems for Advanced Applications), pp.247–254, 1996.

    Google Scholar 

  2. T. Matsui and S. Furui: “ Comparison of text independent speaker recognition methods using VQ distortion and discrete/continuous HMMs”, Proc.ICASSP, Vol.II, pp157–160, 1992.

    Google Scholar 

  3. Y. Ariki and K. Doi, “Speaker Recognition based on Subspace Method”, ICSLP’94, pp.1859–1862, 1994.

    Google Scholar 

  4. E. Oja, ”Subspace Methods of Pattern Recognition, Research Studies Press, England, 1983.

    Google Scholar 

  5. Cambridge University Engineering Department Speech Group and Entropic Research Laboratory Inc.: “HTK Hidden Markov Model Toolkit V2.0”

    Google Scholar 

  6. Y. Ariki and Y. Saito: “Extraction of TV News Articles based on Scene Cut Detection”, ICIP96, pp.III847–III850, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Science and Technology, Ryukoku University, 1-5 Yokotani, Oe-cho, Seta, Otsu-shi, 520-2194, Japan

    Yasuo Ariki, Jun Ogata & Masafumi Nishida

Authors
  1. Yasuo Ariki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jun Ogata
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Masafumi Nishida
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Graduate School of Engineering Department of Information Systems Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan

    Shojiro Nishio  & Fumio Kishino  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ariki, Y., Ogata, J., Nishida, M. (1999). News Dictation and Article Classification Using Automatically Extracted Announcer Utterance. In: Nishio, S., Kishino, F. (eds) Advanced Multimedia Content Processing. AMCP 1998. Lecture Notes in Computer Science, vol 1554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48962-2_6

Download citation

  • DOI: https://doi.org/10.1007/3-540-48962-2_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65762-0

  • Online ISBN: 978-3-540-48962-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation