begin quote from AI Overview
Key Discoveries by Project CETI and AI
- Phonetic Alphabet: Researchers using machine learning models to analyze thousands of sperm whale recordings identified 156 distinct click sequences (codas), up from the previously known 21.
- Vowel-like Structures: The AI revealed that whales use elements like tempo, rhythm, ornamentation, and micro-timing variations (rubato) similar to phonemes and vowel structures in human speech.
- Combinatorial Complexity: Whales layer and combine these basic click patterns in structured ways, practicing conversational turn-taking and context-dependent "audience design".
Would you like to know more about:
- How scientists collect audio recordings using non-invasive soft robotics?
- The legal and ethical debates surrounding the potential translation of animal languages?
- Recent AI models like DolphinGemma used for cetacean research?
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May 20, 2024 — Researchers are using machine learning to analyze and decode whale sounds — and it's just as complicated as it seems. Sperm whales are ...
What actually happened is that they used AI to analyze whale sounds— and discovered they have a complex grammar with regional dialects, sounds ...
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Jan 5, 2026 — An AI model originally trained to make music is learning to translate sperm whale clicks into other sounds—including human speech—and vice versa ...
Jul 11, 2024 — Researchers studying sperm whale communication say they've uncovered sophisticated structures similar to those found in human language.
CETI is a nonprofit organization applying advanced machine learning and state-of-the-art robotics to listen to and translate the communication of sperm whales.
Feb 9, 2026 — It's not science fiction: scientists are using machine learning algorithms to decipher how animals communicate and what they're saying.
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