2 Hits in 5.5 sec

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment

Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal (+16 others)
2013 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)  
The 9th annual MLSP competition presented a real-world dataset of bird sounds collected in field conditions.  ...  Traditional methods for collecting data about birds involves costly human effort. A promising alternative is acoustic monitoring.  ... 
doi:10.1109/mlsp.2013.6661934 dblp:conf/mlsp/BriggsHRELCHHBFINTFTNNHRMDVMDCHLM13 fatcat:33buftks4bc4teuwtx7ncnbmsy

Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018

International Conference On Ecological Informatics, Thüringer Universitäts- Und Landesbibliothek Jena, Jitendra Gaikwad
learning and process modelling, • decision-informing solutions for biodiversity conservation and sustainable ecosystem management in light of global changes.  ...  The Conference Proceedings are an impressive display of the current scope of Ecological Informatics.  ...  The other issue is that in the bird's natural habitat, elements such as leaves, grass and rivers are natural noise sources. It is difficult to extract the bird songs in such a noisy environment.  ... 
doi:10.22032/dbt.37846 fatcat:abpbnzmatncp7piugi3udxzcxu