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2003 ISCA Workshop on
Multilingual Spoken Document Retrieval
(MSDR2003)
Hong Kong
April 4-5, 2003 |
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LODEM: A Multilingual Lecture-On-Demand System
Atsushi Fujii (1,3), Katunobu Itou (2,3), Tetsuya Ishikawa (1)
(1) Institute of Library and Information Science,
University of Tsukuba, Japan
(2) National Institute of Advanced Industrial Science and Technology,
Tsukuba, Japan
(3) CREST, Japan Science and Technology Corporation, Japan
We propose a multilingual lecture-on-demand system,
which searches lecture videos for segments relevant
to user information needs across languages. We
utilize the benefits of textbooks and audio/video data
corresponding to a single lecture. We extract the audio
track from a target lecture video, generate a transcription
by large vocabulary continuous speech recognition,
and produce a textual index. Users can view specific
video segments by selecting paragraphs in the textbook
for the target lecture, machined translated into the user
language. Experimental results showed that by adapting
speech recognition to the lecture topic, the recognition
accuracy increased and the retrieval accuracy was
comparable with that obtained by human transcriptions.
Our system is implemented as a client-server system
over the Web to facilitate e-education.
Full Paper
Bibliographic reference.
Fujii, Atsushi / Itou, Katunobu / Ishikawa, Tetsuya (2003):
"LODEM: a multilingual lecture-on-demand system",
In MSDR-2003, 13-18.