Whales’ Hidden Vowels: UC Berkeley’s Leap in Decoding Oceanic Dialogues

UC Berkeley's breakthrough reveals vowel-like sounds in sperm whale communication, suggesting human-like complexity. Using AI, researchers decoded structured patterns, advancing cetacean linguistics and conservation efforts. This discovery, led by Gašper Beguš and Project CETI, builds on years of data collection.
Whales’ Hidden Vowels: UC Berkeley’s Leap in Decoding Oceanic Dialogues
Written by Sara Donnelly

In the vast expanses of the ocean, sperm whales have long communicated through rhythmic clicks known as codas, but a groundbreaking study from UC Berkeley linguists and Project CETI has unveiled a new layer of complexity: vowel-like sounds embedded within these patterns. Published on November 17, 2025, the research suggests that whale communication may mirror human linguistic structures more closely than previously imagined. Led by linguistics professor Gašper Beguš, the team analyzed thousands of whale vocalizations, revealing spectral properties akin to human vowels and diphthongs.

This discovery challenges decades of assumptions about animal communication, positioning sperm whales as potential possessors of a sophisticated ‘language’ system. By employing advanced AI and machine learning, researchers decoded patterns that indicate context-dependent variations, much like how humans modulate pitch and tone. The findings, detailed in a paper from Project CETI, were first reported by SFGate, highlighting the structured nature of these underwater symphonies.

Unveiling the Phonetic Building Blocks

Beguš described the revelation as ‘striking,’ noting in an interview with SFGate that ‘I’ve never seen anything like that before with other animals.’ The study focused on recordings from sperm whales in Dominica, where Project CETI has deployed hydrophones and drones to capture data. These vowel-like elements appear as modulations in the inter-click intervals, creating what researchers term ‘rubato’ and ‘ornamentation’—variations in rhythm and added clicks that convey nuanced meanings.

Collaborating with experts from MIT and Harvard, the team used AI models to classify these sounds, drawing parallels to human phonetics. A related article in MIT Technology Review from May 2024 anticipated such breakthroughs, emphasizing how AI is bridging gaps in understanding cetacean dialogues. This latest advancement builds on that foundation, offering empirical evidence of combinatorial structures in whale codas.

AI’s Role in Oceanic Linguistics

Artificial intelligence proved pivotal, with algorithms sifting through vast datasets to identify patterns invisible to the human ear. As reported by WHYY in January 2025, computer models have accelerated deciphering efforts, though some scientists caution about anthropomorphic interpretations. Project CETI’s interdisciplinary approach combines linguistics, marine biology, and data science, aiming to create a ‘whale dictionary.’

Recent news from The Times of India, published two days ago, underscores the vowel patterns as evidence of human-like language traits. Beguš and colleagues found that whales adjust these sounds based on social contexts, such as family interactions or hunting coordination, suggesting a level of intentionality.

Historical Context and Prior Discoveries

The journey to this breakthrough traces back to earlier studies, like a 2023 Reddit discussion on r/technology highlighting initial vowel analogies in whale speech. Building on that, a May 2024 piece in Popular Science detailed phonetic alphabets in sperm whale clicks, setting the stage for UC Berkeley’s deeper dive.

Project CETI, founded by David Gruber, has amassed over 400,000 codas since 2019, using non-invasive tags and buoys. A University of California press release from five days ago credits the five-year observation period for revealing communication similarities to humans, as whales use calls for social bonding and navigation.

Challenges in Interpretation

Despite the excitement, barriers remain. WHYY notes that while AI decodes patterns, true meaning—such as what specific codas signify—eludes researchers. Ethical concerns arise too, with marine biologists warning against disrupting whale habitats through intrusive tech.

On X (formerly Twitter), posts from users like Blue Planet Society echo the buzz, sharing links to articles on whale phonetic alphabets from as early as 2023. A recent tweet by Massimo on September 20, 2025, highlights AI’s role in pattern detection off Dominica, reflecting public fascination with these marine linguists.

Implications for Marine Conservation

This vowel discovery could revolutionize conservation, enabling better monitoring of whale populations affected by shipping noise and climate change. As per a Yahoo Finance article from one week ago, understanding spectral patterns offers insights into cetacean cognition, potentially influencing policies on ocean noise pollution.

Industry insiders in marine tech see opportunities for bio-inspired AI, where whale communication models enhance natural language processing. Beguš told SFGate that ‘we’re showing the world that there’s more than meets the eye’ in animal intelligence, urging cross-disciplinary collaborations.

Future Horizons in Cetacean Studies

Looking ahead, Project CETI plans to expand datasets with global whale populations, integrating more AI tools. A News International report from five days ago reveals AI-studied family interactions, decoding social nuances in whale language.

Samuel Hammond’s 2023 X post speculated on using LLMs for whale click tokenization, a vision now partially realized. With ongoing research, experts anticipate interactive ‘conversations’ with whales, blending technology and biology in unprecedented ways.

Broader Scientific Ramifications

The breakthrough extends beyond whales, informing studies on other species’ communications. Indian Defence Review’s piece from five days ago notes how vowel-like sounds challenge evolutionary assumptions about language development.

As Beguš emphasized in the University of California release, these findings highlight structured systems in non-human species, potentially reshaping linguistics and AI fields. The ocean’s depths, it seems, hold linguistic treasures waiting to be fully unlocked.

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