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2009 IEEE International Conference on Acoustics, Speech and Signal Processing
An audio indexing system for election video material
Taipei, Taiwan
April 19-April 24
ISBN: 978-1-4244-2353-8
Christopher Alberti, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Michiel Bacchiani, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Ari Bezman, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Ciprian Chelba, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Anastassia Drofa, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Hank Liao, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Pedro Moreno, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Ted Power, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Arnaud Sahuguet, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Maria Shugrina, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Olivier Siohan, Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
In 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.
Citation:
Christopher Alberti, Michiel Bacchiani, Ari Bezman, Ciprian Chelba, Anastassia Drofa, Hank Liao, Pedro Moreno, Ted Power, Arnaud Sahuguet, Maria Shugrina, Olivier Siohan, "An audio indexing system for election video material," icassp, pp.4873-4876, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
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