This repository is for the development of bioacoustic analytical tools for both humans (citizen/scientists) and machines (algorithms) to process Orcasound data -- either post-processing of archived raw FLAC files or real-time analysis of the lossy stream and/or FLAC files. The long-term goals are to characterize underwater noise in real-time and to promote a friendly collaboration among humans and machines that leads to synergistic real-time, cloud-based processing of bioacoustic data.
Each node of the Orcasound hydrophone network streams audio data to AWS S3 data buckets, all of which are open-access. If you would like to access data, read the access.md file.
An open access archive of signals, noise, and empirical data for machine learning and teaching human listeners