> >> I should clarify, it's an Owl with a low hooting sound at night in >> remote forest areas, in order to replicate it in the field we use >> subwoofers. I'll get more details on the exact frequencies when I'm in >> the office tomorrow. > >Ah, that seems like an owl might be easier than most other bird calls. > >A recording of a hoot would be even more useful, that way a display of >the frequencies used over time could be calculated. > >> Making a list of times isn't a bad way to go, and I'll look at that some >> more. > >Sure, it would also be relatively easy to have it figure out all the closest >matches and then play them and allow an operator to say y/n. If you match >the "fingerprint" of the sound instead of just a single frequency peak I >suspect you could get pretty good accuracy even when the same frequencies >are created by thunder, coyotes, trees groaning in the wind, etc.
I think I'm on the right track now. What I figured out is that I can use whatever application I want to find the start time's for the region of interest and easily write those as a label track for audacity (see the .aup file its xmlish) So python is up on the top of the list now. I also poked around and took a look at the new VAMP Plugin system which is directed towards analysis and could be integrated into Audacity or Sonic Visualiser ( http://www.sonicvisualiser.org/ ). The other application I've tinkered with is Praat ( http://www.fon.hum.uva.nl/praat/ )which is for speech recognition but that might be more hassle than it's worth. This linked file has: A sound sample An audacity project with label track A spectrogram screenshot A spectrogram text dump (looks like 10-60Hz is the region of interest) http://ftp.dfg.ca.gov/Public/RAP/Projects/GGOW/GGOWspectrum.zip Thanks for the help, I guarantee at least one lugod talk later this year (after I finish my thesis) in exchange. Alex _______________________________________________ vox-tech mailing list [email protected] http://lists.lugod.org/mailman/listinfo/vox-tech
