I think BirdVox Detect and Classify are really neat, and really helpful for someone just starting NFCs like myself. Since I am very unfamiliar with NFCs, how do I verify NFCs? I'm familiar with the OldBird species glossary, but I can't find matches to any of the calls that I hear. Is there a way to see likely runners-up or potential for uncertainty? I presume if there's a hit with 63% confidence and one with 60% confidence, it only lists the top hit?I think most of the calls have been CCSP, based on feedback from the Facebook NFC group. BirdVox gave me slightly different results. I tried out BirdVox Detect on a short (~13 min) recording taken earlier this week (checklist: https://ebird.org/checklist/S74263231 ). When I ran BVD on the whole unprocessed clip (threshold =10), I got nothing. Running BVD on the clip filtered (3k cutoff) to eliminate worst of the traffic and other noise and amplified gave me 3 hits, 2 of which were real. It IDed the clips as SAVS and WTSP with 58% and 68% confidence. Running BVD on the isolated (filtered) clips gave me WTSP for both, with 54% and 64% confidence, respectively. Feedback from the NFC Facebook group suggests CCSP for at least one of the clips, which are *way* more abundant on the ground in Lubbock now. That's similar to feedback I've gotten on other clips with what look to be similar calls (https://ebird.org/checklist/S73794113 ).
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Dear Peter and all,
Thank you for your feedback. I concur with Benjamin in that CCSP is not yet among within our taxonomy, so, at best, it will appear as "OTHE" (other) in the output.
Our short-term goal is to make the output format of
BirdVoxClassify richer in terms of taxonomical depth: order,
family, and species. So the output label will be "Other sparrow",
meaning "Definitely an American sparrow, but none of the species
of sparrows in the currently supported checklist".
See this paper (Cramer et al. ICASSP 2020) for our currently supported checklist and the taxonomical neural network classifier (TaxoNet): http://www.lostanlen.com/pubs/cramer2020icassp/
Our mid-term goal is to expand the taxonomy beyond the current
checklist of 14 species. Benjamin, Jason, and myself have concrete
plans to enact this: we need to retrain the classifier on more
diverse calls, which we're collecting and aggregating at the
The long-term goal is called the "open-set scenario", i.e., in which we allow the user to add new species at runtime. This is an open research problem at the moment, so i'm not able to give you a precise timeline for it.
I hope this helps!
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