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

Howard Wactlar, Alex Hauptmann, and M.J. Witbrock
tech. report CMU-CS-98-109, Computer Science Department, Carnegie Mellon University, March, 1998


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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 tests 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 M.J. Witbrock, "Informedia News-on-Demand: Using Speech Recognition to Create a Digital Video Library," tech. report CMU-CS-98-109, Computer Science Department, Carnegie Mellon University, March, 1998

BibTeX Reference
@techreport{Wactlar_1998_3732,
   author = "Howard Wactlar and Alex Hauptmann and M.J. Witbrock",
   title = "Informedia News-on-Demand: Using Speech Recognition to Create a Digital Video Library",
   booktitle = "",
   institution = "Computer Science Department",
   month = "March",
   year = "1998",
   number= "CMU-CS-98-109",
   address= "Pittsburgh, PA",
}