Audio-in, audio-out
Processes sequences of natural dolphin sounds to identify patterns, structure, and ultimately predict the next sounds in a sequence.
Explore DolphinGemma
Developed in collaboration with researchers at the Wild Dolphin Project and the Georgia Institute of Technology, DolphinGemma could help us better understand dolphins and, one day, hopefully even help us communicate with them.
Processes sequences of natural dolphin sounds to identify patterns, structure, and ultimately predict the next sounds in a sequence.
Identifies recurring sound patterns, clusters, and reliable sequences, to help uncover hidden structures and, potentially, meanings behind dolphin sounds.
With the help and expertise of the Wild Dolphin Project (WDP), along with its library of natural dolphin vocalizations, DolphinGemma may help establish two-way communication with dolphins one day.
The WDP has spent decades studying a community of wild Atlantic spotted dolphins. This research has produced a unique dataset of underwater audio and video that is cataloged by individual dolphins and the behaviors of each individual. DolphinGemma was trained on that audio dataset, allowing the model to identify recurring patterns and structures in dolphin vocalizations.
Eventually, we hope the model will be able to predict the next sounds in a given sequence of dolphin noises – much like how LLM models can predict the next word in human languages.
Spectrograms are visual representations of sound frequencies over time. The spectrograms below represent whistles (left) and burst pulses (right) generated during early testing of DolphinGemma.
DolphinGemma is currently in development. On release, it will be openly available – to give researchers a powerful tool to collectively deepen our understanding of intelligent marine life.
Until then, all the other open models in our Gemma collection are ready for you to explore, adapt, and build on.