8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Topic Segmentation and Retrieval System for Lecture Videos Based on Spontaneous Speech Recognition

Natsuo Yamamoto (1), Jun Ogata (2), Yasuo Ariki (1)

(1) Ryukoku University, Japan
(2) AIST, Japan

In this paper, we propose a segmentation method of continuous lecture speech into topics. A lecture includes several topics but it is difficult to judge their boundaries. To solve this problem, transcriptions obtained by spontaneous speech recognition of a lecture speech is associated with the textbook used in the lecture. This method showed high performance of the topic segmentation with an average of 93.7%. Incorporating this method, we constructed a system where we can view an interesting part of lecture videos, by specifying the chapters or sections as well as keywords.

Full Paper

Bibliographic reference.  Yamamoto, Natsuo / Ogata, Jun / Ariki, Yasuo (2003): "Topic segmentation and retrieval system for lecture videos based on spontaneous speech recognition", In EUROSPEECH-2003, 961-964.