The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

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 test show that reasonable recall and precision can be obtained with only moderate speech recognition accuracy.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Project(s): Informedia Digital Video Library

Text Reference

Howard Wactlar, Alex Hauptmann, and Michael Witbrock, "Informedia: News-on-Demand Experiments in Speech Recognition," Proceedings of ARPA Speech Recognition Workshop, February, 1996.

BibTeX Reference

@inproceedings{Wactlar_1996_3345,
   author = "Howard Wactlar and Alex Hauptmann and Michael Witbrock",
   title = "Informedia: News-on-Demand Experiments in Speech Recognition",
   booktitle = "Proceedings of ARPA Speech Recognition Workshop",
   publisher = "Arden House",
   address = "Harriman, NY",
   month = "February",
   year = "1996",
}

The Robotics Institute

Menu