
Humpback whales create novel expressions of the songs they sing. The goal of this project is to train Ai to recognize patterns in humpback whale song and use this training to explore deep level pattern logic

Rather than composing a piece of music that "sounds like" whale song, I have taken a improvisational approach to let the musicians explore what it must feel like to be a singing whale. This piece can be played with any combination of 4 instruments

The time is now to address the question of musicality in the humpback whale. My aim is to put whale song in a musical framework and undertake a comparative analysis. This approach will enhance our understanding of patterned sound in both our species and provide another tool in science’s toolbelt.

Analysis of 2018-2019 field recordings in Maui, Hawaii and Mo'orea, Tahiti. By comparing and contrasting two different populations (north/south) and two annual song cycles the commonalities of song will become apparent. Early findings are showing interesting links between the two population's songs

Upcoming album featuring the best of humpback whale song field recordings made over the past 20 years in both the south pacific and north pacific, allowing the listener to detect the song's evolution over time.
With over 25 years of experience in musical composition, ocean acoustics, and interspecies analysis, I bring a unique interdisciplinary lens to decoding whale song. My background in violin and traditional African drumming informs my understanding of rhythm and phrasing, while my scientific training enables rigorous analysis of whale vocalizations using tools from information theory, artificial intelligence, and bioacoustics.
Fieldwork in Hawai‘i since 1999 has allowed me to document the evolving structure of humpback song firsthand, from my small kayak, experiencing encounters with whales that have shaped both my research and my artistic practice. I’ve witnessed mothers bringing calves to my boat, entrusting me with their young while they rest beneath, moments that underscore the emotional depth of these creatures.
In Alaska, I’ve participated in scientific expeditions focused on feeding calls and bubble-net behavior, observing whales in high-density environments while developing personal familiarity with individual animals. These experiences have deepened my understanding of whale social roles, vocal specialization, and acoustic tool use.
My interest in SETI stems from participating with the WhaleSETI team in Southeast Alaska 2021. My role was to deploy hydrophones and document what led to be a rare 20-minute vocal exchange with a whale named Twain. The whale responded to our playback experiments with intricate variation, suggesting a level of engagement that transcended passive listening, hinting at genuine dialogue and emotional response. In my role as coauthor of the resulting paper: Interactive bioacoustic playback as a tool for detecting and exploring nonhuman intelligence: “conversing” with an Alaskan humpback whale paper (PeerJ), I analyzed the rhythmic structure of the interaction and measured deviations, mapping the emotional response to metrical fidelity.
My current research integrates methodologies from music theory, linguistics, information theory, and Indigenous science to decode the symbolic and emotional dimensions of whale song. Music theory guides the segmentation and analysis of song structure; information-theoretic tools help quantify complexity and detect rule-governed patterns; and Indigenous epistemologies offer relational and ecological perspectives on context and meaning.
This interdisciplinary framework has direct implications for the Search for Extraterrestrial Intelligence (SETI). Traditional SETI efforts focus on technosignatures such as radio waves, but alien civilizations may communicate through acoustic or symbolic systems more akin to whale song than human language. By expanding SETI’s conceptual toolkit to include musical structure and intelligence, my work helps overcome cognitive blind spots and helps define a universal structure for message transmission.

Copyright © 2026 Groovedwhaleproject - All Rights Reserved.