3 ms·
As an example, I have 9 months of hydrophone cable data that has a large number of sounds that occur across a large variety of time lengths and frequencies. It
by mnky9800n 3y ago
As an example, I have 9 months of hydrophone cable data that has a large number of sounds that occur across a large variety of time lengths and frequencies. It would be nice to have a method that highlights certain signals given specific meta data. Tbh, what I think I want is a pipe dream.
- jononor 3y agoIf you are willing to label 100 instances of each event type, then the approaches suggested above should work. And half of the data should be used to quantify how well it works.
- akomtu 3y agoWhat kind of metadata?
- gopher_space 3y agoI think some of the folks working with cetaceans might be able to point you towards interesting areas. I'm aware of work on processing petabytes of highest-res hydrophone data and I'm pretty sure they're tagging things that look like new clicktrains in some manner. Does this sound appropriate? As an aside, I've been kicking around the thought of what a software resonator might look like and where the analogy would work. I feel like there's a really efficient filter you could pull out of the concept.