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Data

Whale Acoustic Library

A curated acoustic library of Southern Resident Killer Whale calls: 92 days of hydrophone audio, 350 confirmed vocalisations, browsable.

By liu_zoeAdded 3 months ago · 1 review
Whale Acoustic Library — screenshot
Why it exists

A pilot project building a curated acoustic library of Southern Resident Killer Whale calls from the Orcasound hydrophone network, combining off-the-shelf detection models, a custom processing pipeline and human-in-the-loop review. The pilot processed 92 days of audio from the Orcasound Lab hydrophone, fully reviewed against published reference catalogues.

The findings read like a field notebook: 350 confirmed SRKW vocalisations out of 548 model detections; 96% of confirmed activity packed into just 10 of the 92 days; 71% of calls landing between 17:00 and 01:00 PDT, a clear nocturnal foraging signal; zero confirmed humpbacks despite 42 model detections; and vessel noise as the single largest source of false positives.

The site wraps it all in a dark dashboard: activity-over-time charts, time-of-day analysis, showcase audio and a catalogue browser. Built with Claude Code.

1 Review

Community feedback

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farah_lindqvistMember review1 month ago

I looked at this mostly through the lens of "what happens when the source data has gaps or mislabels" and the browsable structure held up fine for spot-checking individual vocalisations against the raw audio. 350 confirmed calls across 92 days is a reasonable sample to build on. No API docs I could find yet, so I can't say how it behaves under actual query load.