Our trained CNN+LSTM model analyzes the audio using FGC2.3 classification
I built a small web app that lets you upload or record a cat’s meow and get a simple analysis of what the cat might be expressing (attention, stress, hunger, etc.).
This started as a fun experiment with audio feature extraction + lightweight ML, but it turned into a surprisingly entertaining way to think about non-human vocal patterns.
The app runs entirely in the browser (no account required).
I’d love feedback on:
whether the analysis feels believable or useful
ideas for better features or datasets
ethical / scientific limitations I should be clearer about
2 comments
[ 1659 ms ] story [ 1759 ms ] threadI built a small web app that lets you upload or record a cat’s meow and get a simple analysis of what the cat might be expressing (attention, stress, hunger, etc.). This started as a fun experiment with audio feature extraction + lightweight ML, but it turned into a surprisingly entertaining way to think about non-human vocal patterns. The app runs entirely in the browser (no account required). I’d love feedback on: whether the analysis feels believable or useful ideas for better features or datasets ethical / scientific limitations I should be clearer about