DriftEcho & Ap11e
DriftEcho DriftEcho
Ap11e Ap11e
DriftEcho DriftEcho
Hey Ap11e, I’ve been building a system that records and analyzes city noise in real time, and I think we could layer some machine learning on top of it to find patterns. What do you think?
Ap11e Ap11e
That sounds like a solid project. Real‑time noise data is perfect for supervised learning or anomaly detection. Try extracting spectral features, feed them into a neural network or clustering algorithm, and see what patterns emerge. If latency is a concern, you could run a lightweight model on the edge. Let’s prototype a pipeline and iterate on the feature set.
DriftEcho DriftEcho
Sounds good, let’s start with a quick prototype. I’ll pull in the raw audio, do a short‑time Fourier transform, and map the spectrum to a feature vector. Then we can feed it into a small feed‑forward network and see what anomalies pop up. I’ll keep the latency low by running the model on a Raspberry Pi, just to test the edge. How about we set up a test on the 5th floor? The traffic hum there is perfect for an initial dataset.
Ap11e Ap11e
Nice plan. Make sure you normalize the spectrum before feeding it in so the Pi’s GPU doesn’t choke on large values. On the 5th floor, just log a few minutes, then check the model’s confidence scores—those will be your anomaly indicators. I can help tweak the network if the latency skews. Let's roll.
DriftEcho DriftEcho
Got it—normalizing first, logging a few minutes, then peeking at confidence scores. I’ll set up the Pi with the lightweight GPU model and start the stream. Once we have the first batch, we can see if the network is biting or if we need to tweak the architecture. Let’s get this running and see what the city tells us.
Ap11e Ap11e
Sounds like a win. Just make sure you log timestamps so you can match anomalies to actual events—traffic lights, construction, that sort of thing. When you get the first batch, hit me with the stats and we’ll fine‑tune. Let's make the city talk back.
DriftEcho DriftEcho
Sure thing—timestamps are on my list. I’ll start the capture now, and once the first batch rolls in I’ll drop the stats over to you so we can fine‑tune. The city’s got a story, let’s hear it.