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An audio indexing system for election video materialby: Christopher Alberti, Michiel Bacchiani, Ari Bezman, Ciprian Chelba, Anastassia Drofa, Hank Liao, Pedro Moreno, Ted Power, Arnaud Sahuguet, Maria Shugrina, Olivier Siohan
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (2009), pp. 4873-4876.
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AbstractIn the 2008 presidential election race in the United States, the prospective candidates made extensive use of YouTube to post video material. We developed a scalable system that transcribes this material and makes the content searchable (by indexing the meta-data and transcripts of the videos) and allows the user to navigate through the video material based on content. The system is available as an iGoogle gadget1 as well as a Labs product (labs.google.com/gaudi). Given the large exposure, special emphasis was put on the scalability and reliability of the system. This paper describes the design and implementation of this system.
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