WAPS: An Audio Program Surveillance System for Large Scale Web Data Stream

Authors:
Jie Gao;Yanqing Sun;Hongbin Suo;Qingwei Zhao;Yonghong Yan
Affiliations:
ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R. China 100190;ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R. China 100190;ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R. China 100190;ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R. China 100190;ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R. China 100190
Venue:
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Year:
2009

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Abstract

We address the problem of effectively monitoring audio programs on the web. The paper tries to present how to construct such an audio program surveillance system using several state-of-the-art speech technologies. A real-world system WAPS (Web Audio Program Surveillance) is used as an example. WAPS is described in details in terms of the challenges it faces, it system architecture and its component modules. Objective evaluation of the whole WAPS is also given. Experiments show that WAPS shows satisfying performance on both artificially created data and real web data.