Abstract
This paper presents a methodology to represent, process and visualize large bird audio recordings. The proposed methodology is based on audio signal processing, image processing, and machine learning techniques. We evaluated the methodology in a collection of 6,856 audio recordings belonging to 560 Colombian bird species. Results show that it is possible to build a tool that help ornithologists to process and analyze large collections of bird species in and effective and efficient way.
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CITATION STYLE
Reyes, A. K., Caicedo, J. C., & Camargo, J. E. (2017). Identifying Colombian bird species from audio recordings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10125 LNCS, pp. 274–281). Springer Verlag. https://doi.org/10.1007/978-3-319-52277-7_34
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