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T. Zhang and C. C. J. Kuo, “Audio Content Analysis for Online Audiovisual Data Segmentation and Classification,” IEEE Transactions on Speech and Audio Processing, Vol. 9, No. 4, 2001, pp. 441-457. doi:10.1109/89.917689

has been cited by the following article:

• TITLE: Development of Automatically Updated Soundmaps for the Preservation of Natural Environment

  AUTHORS: Ioannis Paraskevas, Stylianos M. Potirakis, Ioannis Liaperdos, Maria Rangoussi

  KEYWORDS: Soundmaps, Acoustic Ecology, Hierarchical Pattern Recognition, Network of Microphones

  JOURNAL NAME: Journal of Environmental Protection, Vol.2 No.10, December 16, 2011

  ABSTRACT: Automatically Updated Soundmaps are maps that convey the sound rather than the visual information content of an area of interest, at a certain time instant or period. Sound features encapsulate information that can be combined with the visual features of the landscape, thus leading to useful environmental conclusions. This work aims to construct an Automatically Updated Soundmap of an area of environmental interest. A hierarchical pattern recognition approach method is proposed here, that can exploit sound recordings collected by a network of microphones. Hence, after appropriate signal processing, the large amounts of information, originally in the raw form of sound recordings, can be presented in the concise yet meaningful form of a periodically updated soundmap.