Dynamic browsing of audiovisual lecture recordings based on automated speech recognition

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. © 2008 Springer-Verlag Berlin Heidelberg.