An audio indexing system for election video material

Authors:
Christopher Alberti;Michiel Bacchiani;Ari Bezman;Ciprian Chelba;Anastassia Drofa;Hank Liao;Pedro Moreno;Ted Power;Arnaud Sahuguet;Maria Shugrina;Olivier Siohan
Affiliations:
Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA;Speech Research Group, Google Inc., 79 Ninth Ave, New York, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

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.