A browsing system for classroom lecture speech

Developing technologies to summarize and retrieve huge quantities of spoken documents, recorded during classroom lectures, for the purpose of e-Learning or self-learning are important. In this paper, we describe an adaptation method of a language model to recognize keywords in given slides. Next, we propose a summarization method for spoken classroom lectures using prosodic features and linguistic information. Last, we describe our “Classroom Lecture Browsing System”, which enables more efficient access to lecture video by using the results of keyword-indexing and automatic summarization.