DocumentCode
2924448
Title
Indexing and search of multimodal information
Author
Hauptmann, Alexander G. ; Wactlar, Howard D.
Author_Institution
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
1997
fDate
21-24 Apr 1997
Firstpage
195
Abstract
The Informedia Digital Library Project allows full content indexing and retrieval of text, audio and video material. The integration of speech recognition, image processing, natural language processing and information retrieval overcomes limits in each technology to create a useful system. In order to answer the question how good speech recognition has to be in order to be useful and usable for indexing and retrieving speech recognizer generated transcripts, some empirical evidence is presented that illustrates the degradation of information retrieval at different levels of speech accuracy. In our experiments, word error rates up to 25% did not significantly impact information retrieval and error rates of 50% still provided 85 to 95% of the recall and precision relative to fully accurate transcripts in the same retrieval system
Keywords
image processing; information retrieval systems; multimedia computing; natural languages; speech recognition; Informedia Digital Library Project; audio material; image processing; information retrieval; multimodal information; natural language processing; speech recognition; speech recognizer generated transcripts; text; video material; Content based retrieval; Degradation; Error analysis; Image processing; Image retrieval; Indexing; Information retrieval; Natural language processing; Software libraries; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599599
Filename
599599
Link To Document