Classifying topics of video lecture contents using speech recognition technology

  • Authors:

  • Jun Park;Jihie Kim

  • Affiliations:

  • Information Sciences Institute, USC, Marina Del Ray, U.S.A.,Electronics and Telecommunications Research Institute, Daejeon, Korea;Information Sciences Institute, USC, Marina Del Ray

  • Venue:
  • ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

We explore a speech-based topic classification approach. We generate the transcript of input video lecture based on speech recognition technology and identify the topic by comparing its term-based vector with topic models. The preliminary experiment result shows that the speech-based topic classification works well, with its performance comparable to one that directly uses manual transcripts. The approach also shows robustness against speech recognition errors up to 40.6%.