The findings show how these sound elements are freely combined, helping whales to communicate a huge repertoire of distinguishable codas. The function of each sound isn't yet known, but the results 'show that the sperm whale communication system is, in principle, capable of representing a large space of possible meanings...'
[The sperm whale alphabet] shows how a small set of axes of variation (place of articulation, manner of articulation, and voicedness in humans; rhythm, tempo, ornamentation, and rubato in sperm whales) give rise to the diverse set of observed phenomes (in humans) or codas (in sperm whales).
In a conversation with TechCrunch, MIT CSAIL director Daniela Rus explained how machine learning was utilized: 'We would get the inputs, and then we adjust our machine learning, to visualize better and to understand.'
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