3 ms·
If you read a bit of the kaggle discussion you'll find a lot of interesting links. The BirdClef competitions have some good write ups which, at the very least,
by sdenton4 6y ago
If you read a bit of the kaggle discussion you'll find a lot of interesting links. The BirdClef competitions have some good write ups which, at the very least, will get you to dinner best practices for augmentation, which seems to be half the problem.
Beyond the web, Nathan Pieplow has a couple great guides to birdsong, with excellent introductory essays. There's a British book called the Sound Approach to Birding with some excellent general propose knowledge, as well.
If you're looking for a fun project which to my knowledge hasn't been done, 'birdsong asr' or 'phoneme' transcription would be super cool. Feel free to send me an email ($username at gmail) if you're actually digging in. :)
- wpietri 6y agoThanks! I will check these out. The notion of 'phoneme' transcription is especially interesting to me. One of the things I find unappealing about a lot of current ML is how much it seems like brute force to me. Looking for smaller structural elements seems more appealing to me.