Using machine learning to understand whales?
The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various aspects of syntax and semantics - including sentence
The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various aspects of syntax and semantics - including sentence
structure and grounded word meaning - from large data collections.
Recent research showed the promise of such tools for analyzing acoustic communication in nonhuman species.
Recent research showed the promise of such tools for analyzing acoustic communication in nonhuman species.
They posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data.
Cetaceans are unique non-human model species as they possess sophisticated acoustic communications, but utilize a very different encoding system that evolved in an aquatic rather than terrestrial medium.
Sperm whales, in particular, with their highly-developed neuroanatomical
Sperm whales, in particular, with their highly-developed neuroanatomical
features, cognitive abilities, social structures, and discrete click-based encoding make for an excellent starting point for advanced machine learning tools that can be applied to other animals in the future.
Abs arxiv.org/abs/2104.08614… whales, in particular, with their highly-developed neuroanatomical
• • •
Missing some Tweet in this thread? You can try to
force a refresh
