
← Generative AI for Kids5. Okt. · 5 Min.
The Sea-Floor Ears That Heard Six Million Whale Songs
Machines on the Atlantic sea floor that were put there to study rocks deep inside the Earth also recorded whale songs, and an AI that human experts trained found more than 6.3 million fin whale calls in about 43 years' worth of recordings.
Wow picture
Picture the dark floor of the Atlantic Ocean near the Azores, Madeira and the Canary Islands. Dozens of seismometers sit there quietly, feeling the planet's rumbles. Overhead, a fin whale about as long as two school buses sings notes so low that people can barely hear them. Each note shows up as a little smudge at the bottom of a "sound picture" (a spectrogram), and an AI helper circles every smudge: more than six million of them.
"Sea-floor ears" is our show's nickname for ocean-bottom seismometers, and the host says so on air. It is not the scientists' term.
Key facts used in the episode
46 ocean-bottom seismometer stations from two networks (São Jorge and UPFLOW) in the Azores–Madeira–Canaries region of the North Atlantic. The recordings run from June 2021 to February 2023.
378,912 hours of recordings in total, which is about 43 years if played back to back.
The AI found 6,291,626 fin whale calls (about 6.3 million). The authors call it the largest fin whale call catalogue to date.
Human experts hand-marked nearly 40,000 calls to train the AI.
About 97% precision overall (94% at São Jorge, 97% at UPFLOW). The AI also missed many quieter calls (recall was about 33% at UPFLOW), so the true number of calls is higher.
Processing one day of recordings from one station took about 15–20 seconds.
Calling peaked from October to February. There were three recurring song "beats" (gaps of about 12, 16 and 20 seconds between notes), and the most common one shifted during the season.