We would like to thank all citizen scientists who contributed to this project on the Zooniverse platform. The Whale Chat project continues on our platform (cetalingua.com). Please check it out if you are interested.
You can do real research by clicking to get started here!
Chat with the research team and other volunteers!
Every click counts! Join Whale Chat's community to complete this project and help researchers produce important results. Click "View more stats" to see even more stats.
Regardless of its purpose, the humpback-whale song is the most complex piece of nonhuman composition on earth. Whether it's art, prayer, or booty call, the humpback song is an amazing thing to experience firsthand, and I suspect that even once the science of it is put to bed, it will remain, as long as they sing, magic" ~ Christopher Moore
CetalinguaThe current development of deep learning and artificial intelligence allows a new approach to trying to understand the whale song. Deep learning models could help with identification of humpback sounds and unsupervised learning models could help to classify the song “units” in perhaps different ways. This project aims to investigate humpback songs from different years and regions, to identify humpback whale sounds in recordings, to classify these calls or units, and eventually to see if we can find individually distinct calls or units (the same way we do in Manatee Chat). This information will be used to train deep learning models that will be able to identify humpback whale sounds in recordings, to classify calls, and to search for underlying structure, hopefully allowing better understanding of the song’s function. If it is possible to identify individually distinct calls, then this information could be used to track migrating whales acoustically, helping to get valuable information about humpback whale populations and their health.