In this paper we discuss our research activities in the area of spoken lecture processing. Our goal is to improve the access to on-line audio/visual recordings of academic lectures by developing tools for the processing, transcription, indexing, segmentation, summarization, retrieval and browsing of this media. In this paper, we provide an overview of the technology components and systems that have been developed as part of this project, present some experimental results, and discuss our ongoing and future research plans. Index Terms:spoken lecture processing, spoken document retrieval, audio browsing
['James R. Glass', 'Timothy J. Hazen', 'D. Scott Cyphers', 'Igor Malioutov', 'David F. Huynh', 'Regina Barzilay']
Recent Progress in the MIT Spoken Lecture Processing Project