Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43964
Title: Automatic acoustic analysis for biodiversity preservation: a multi-environmental approach
Authors: López-de-Ipiña, K.
Iturrate, Mikel
Alonso, J. B. 
Rodríguez-Herrera, B.
UNESCO Clasification: 3307 Tecnología electrónica
2201 Acústica
Keywords: Automatic Acoustic Analysis
Biodiversity Preservation
Machine Learning
Multi-Environmental Analysis
Issue Date: 2015
Conference: 4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015 
Abstract: Biodiversity preservation is essential for environmental health, which is becoming a valuable indicator for quality of life for human being. In this sense, automatic and bioinspired intelligent system can provide powerful tools for monitoring, identification or tracking of species. Automatic acoustic analysis is a non-invasive methodology, easy to use and useful even in complex conditions and inaccessible environments. This work is focused on the development of an automatic system for analysis of environmental agents and their interaction and it is based on human hearing abilities and several Machine Learning paradigms. This preliminary system is evaluated over a multi-environmental database.
URI: http://hdl.handle.net/10553/43964
ISBN: 978-1-4673-7845-1
DOI: 10.1109/IWOBI.2015.7160142
Source: IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings (7160142), p. 43-48
Appears in Collections:Actas de congresos
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