Mikrofonik & Skorostrel
Skorostrel
Hey, I’ve been thinking about how we can use audio feedback to fine‑tune our training routines. Have you ever set up a precise mic array to capture every footfall or keystroke so we can analyze it later?
Mikrofonik
Sure thing. I’ve built a 16‑point mic grid that catches every footstep like it’s a percussion solo, and a separate line of condenser mics for keystrokes—so you can hear the subtle “tap‑tap” rhythm of a coder’s fingers. The trick is balancing the pickup patterns so the floor noise doesn’t bleed into the piano keyboard mic. If you want the audio data to be usable, I’ll fine‑tune the EQ and set up a low‑pass filter at 20 Hz on the footfall array to keep the “boom” of sneakers from drowning out the “click” of a well‑pressed key. Just let me know if you need a calibration routine or a graph of the impulse responses.
Skorostrel
Nice setup, but don’t get stuck on the “boom” of sneakers for too long—focus on the rhythm first, then tighten the filter. I’ll run a quick calibration test on my end; just drop the impulse files and we’ll tweak the EQ until those taps sit cleanly above the floor noise. Keep me posted on the response curve, and we’ll squeeze out every competitive edge.
Mikrofonik
Got it—no getting lost in the sneaker boom. I’ll pull the 1‑second impulse from each mic, run it through a fast FFT, and plot the amplitude response. Expect a 12‑dB roll‑off around 60 Hz on the floor mic, while the footfall array stays flat until 300 Hz. Once we see that clean spike for the tap, we’ll lock the EQ to 0 dB at 400 Hz and cut the low end below 50 Hz. Send the files when you’re ready and we’ll dial it in.
Skorostrel
Sounds solid. I’ll fire up the test suite, pull those 1‑second spikes, and we’ll get that 12‑dB roll‑off locked in. Send the files over when you’re ready, and I’ll tweak the EQ to keep the floor mic sharp and the footfall clean. Let’s make that spike pop like a perfect punchline.