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Whale algorithm could unlock secrets of their many dialects

Could we speak whale one day? A whale song algorithm can pick up their different dialects and could help work out how they communicate with one another
Three long-finned pilot whales underwater. They look mid-size, for a whale, and have stubby noses. Their fins do look quite long, and curvy
Each group of long-finned pilot whales has its own distinct dialect
Tobias Bernhard Raff/Biosphoto/FLPA

Call it a whalegorithm. A computer has learned to suss out the different dialects of long-finned pilot whales. The approach is a step towards unlocking the secrets of how whales communicate with one another.

Some marine mammals, , develop distinct songs that are particular to their social groups. Just as a human might pick up an accent or a set of idioms from their parents, so too whales have their own cultures of communication.

Analysing whale song recordings can help us learn more about these differences. This process normally involves assessing recordings visually, with computers only used to check for specific features like whistles. But this means you might miss important clues to how the whales communicate, says at the Max Planck Institute for Dynamics and Self-Organization in Germany. 鈥淪ome features that might seem very relevant to a human might be very different to the whale.鈥

Ensemble of sounds

Instead, Hallerberg and her colleagues built a 鈥渂ag of calls鈥 algorithm. The program listens to recordings of groups of animals, examining all the frequencies present in the signal. Rather than classify individual calls one by one, it calculated a coefficient to represent all the features of interest.

鈥淲e鈥檙e not looking at each sound. We鈥檙e looking at the ensemble of sounds,鈥 she says. 鈥淚t鈥檚 like looking at a whole text instead of just looking at a particular word.鈥

Researchers at the collected recordings of six groups of long-finned pilot whales along the Norwegian coast. After running their algorithm on the recordings, Hallerberg鈥檚 team could prove that each family had its own distinct dialect.

鈥淚t鈥檚 a hint that they acquire their communication by vocal learning,鈥 Hallerberg says.

The team thinks their software could help analyse the vocalisations of other species, too, and plan to try the algorithm on orca recordings.

John Hildebrand at the Scripps Institute of Oceanography in San Diego says the approach makes sense for pilot whales, which communicate with 鈥渂urst pulse鈥 calls. But he鈥檚 not sure that it would work as well for other toothed whale vocalisations such as echolocation clicks and whistles.

The technique can be useful for high-level questions about big data, but may not help with finer details, like the specific characteristics that set the dialects apart, says at San Diego State University. 鈥淚t all depends on the question you鈥檙e trying to answer and how accurate you鈥檙e trying to be,鈥 she says.

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Topics: Conservation / Language / marine biology / Software / whales and dolphins