
Development of Automatically Updated Soundmaps for the Preservation of Natural Environment
Author(s) -
Ioannis Paraskevas,
Stelios M. Potirakis,
Ioannis Liaperdos,
Maria Rangoussi
Publication year - 2011
Publication title -
journal of environmental protection
Language(s) - English
Resource type - Journals
eISSN - 2152-2219
pISSN - 2152-2197
DOI - 10.4236/jep.2011.210161
Subject(s) - computer science , exploit , construct (python library) , sound (geography) , instant , natural (archaeology) , signal (programming language) , natural sounds , human–computer interaction , artificial intelligence , speech recognition , geography , acoustics , physics , computer security , archaeology , quantum mechanics , programming language
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