CMU-CS-98-109
Computer Science Department
School of Computer Science, Carnegie Mellon University


CMU-CS-98-109

Informedia News-On Demand:
Using Speech Recognition to Create a Digital Video Library

Howard D. Wactlar, Alexander G. Hauptmann, Michael J. Witbrock*

March 1998

This work was first presented at the 1996 DARPA Spoken Language Technology Workshop, Arden House, Harriman, NY, February 1996.

CMU-CS-98-109.ps


Keywords:Digital libraries, digital video, speech recognition, image analysis, video segmentation, information retrieval, spoken document retrieval, speech interfaces, Informedia


In theory, speech recognition technology can make any spoken words in video or audio media usable for text indexing, search and retrieval. This article describes the News-on-Demand application created within the InformediaTM Digital Video Library project and discusses how speech recognition is used in transcript creation from video, alignment with closed-captioned transcripts, audio paragraph segmentation and a spoken query interface. Speech recognition accuracy varies dramatically depending on the quality and type of data used. Informal information retrieval tests show that reasonable recall and precision can be obtained with only moderate speech recognition accuracy.

9 pages

*Justsystem Pittsburgh Research Center, 4616 Henry Street, Pittsburgh, PA 15213. The work described in this paper was done while M. Witbrock was an employee of Carnegie Mellon University.

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