Listen, the answer might be in the air

Get the most out of audio data with the following resources

Github repository of the collaboration between Cornell Lab of Ornithology and NYU’s Music and Audio Research Laboratory to apply machine listening techniques for the automatic detection and classification of free-flying bird species from their vocalizations

Repository of the acoustic workbench software by QUT Ecoacoustics that provides management, visualisation, and analysis services for large amounts of environmental audio data.