Course is led by Paris Smaragdis, one of top researchers in the field of audio processing.
There's a huge amount to discuss in the audio domain... But for a starting place, using ResNet on spectrograms to build a binary classifier is a good place to start.
More precisely, audio spectral preprocessing then neural network such as LSTM.
That's at least the idea kicking around in my head at the moment.
I'm no expert. Haven't done it. Don't really want to send every convo into the cloud or my tinfoil hat will start burning.
You do not need a jetson to get started investigating. Maybe just nvidia for that particular library.
If you find something, maybe you can let me know somehow.
It's slightly academic so here's a more practical resource:
These sketch balls can use your phone's mic to detect what is streaming in a living room.