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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Gao, J., Sun, Y., Suo, H., Zhao, Q., Yan, Y. (2009). WAPS: An Audio Program Surveillance System for Large Scale Web Data Stream. In: Liu, W., Luo, X., Wang, F.L., Lei, J. (eds) Web Information Systems and Mining. WISM 2009. Lecture Notes in Computer Science, vol 5854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05250-7_13
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DOI: https://doi.org/10.1007/978-3-642-05250-7_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05249-1
Online ISBN: 978-3-642-05250-7
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