It's geared towards bioacoustics in particular. It's pretty easy to provide a wrapper for any given model though. Feel free to send a ping if you try it out for speech; will be happy to hear how it goes.
Interesting. Audio search isn't a problem I've thought about addressing, as I'll have transcriptions anyway. But knowing this exists might inspire some additional features or use cases that I haven't thought of yet. Thank you.
Yep, makes sense - conversion to text and then aligning the text with the audio is a very reasonable way to handle large volumes of speech data. For bioacoustics, we tend to have a loooooot of variation for which there is no real notation, and which may be from areas where we haven't seen much training data, or on taxa where we don't have lots of scientists (eg, insects). So working with the raw audio embeddings tends to be best.
It's geared towards bioacoustics in particular. It's pretty easy to provide a wrapper for any given model though. Feel free to send a ping if you try it out for speech; will be happy to hear how it goes.