Skip to main content

Dynamic Browsing of Audiovisual Lecture Recordings Based on Automated Speech Recognition

  • Conference paper
Intelligent Tutoring Systems (ITS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5091))

Included in the following conference series:

Abstract

The number of digital lecture video recordings has increased dramatically since recording technology became available. The accessibility and the search inside of this large archive are limited and difficult. Manual annotation and segmentation is time-consuming and useless. A promising approach is based on using the audio layer of a lecture recording to get information about the lecture contents. In this paper, we are presenting a retrieval method and a user-interface based on existing recorded lectures. A deficient transcription from a speech recognition engine (SRE) is sufficient for browsing in the video-archive. A user-interface for dynamic browsing of the e-learning contents is presented and an evaluation of the supplied keywords concludes the paper.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

References

  1. Hürst, W., Kreuzer, T., Wiesenhütter, M.: A qualitative study towards using large vocabulary automatic speech recognition to index recorded presentations for search and access over the web. In: IADIS Internatinal Conference WWW/Internet (ICWI), pp. 135–143 (2002)

    Google Scholar 

  2. Repp, S., Meinel, C.: Semantic indexing for recorded educational lecture videos. In: 4th IEEE PerCom 2006 Workshops, March 13-17, 2006, pp. 240–245. IEEE Computer Society Press, Pisa,Italy (2006)

    Google Scholar 

  3. Repp, S., Waitelonis, J., Sack, H., Meinel, C.: Segmentation and annotation of audiovisual recordings based on automated speech recognition. In: IDEAL 2007, Birmingham, UK, December 16-19,2007. LNCS, pp. 620–629. Springer (2007)

    Google Scholar 

  4. Yamamoto, N., Ogata, J., Ariki, Y.: Topic segmentation and retrieval system for lecture videos based on spontaneous speech recognition. In: Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH, pp. 961–964 (September 2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Beverley P. Woolf Esma Aïmeur Roger Nkambou Susanne Lajoie

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Repp, S., Groß, A., Meinel, C. (2008). Dynamic Browsing of Audiovisual Lecture Recordings Based on Automated Speech Recognition. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69132-7_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69130-3

  • Online ISBN: 978-3-540-69132-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics