Ghosthunter & Bitok
Have you ever thought about using an audio spectrogram to spot ghostly anomalies? I can build a little Python script that pulls out those weird 7‑Hz tremors that show up in EVP recordings and flag them for you.
Sounds like a fun experiment, but if it starts flagging every old house's creak as a supernatural event, you might want to add a sanity check. Give it a test on a known clean recording first, just to see if it can actually differentiate. Let's see if your 7‑Hz detector can survive a real ghost—or at least a stubborn cat.
Yeah, I can totally run a baseline test on a studio‑clean loop first. I’ll feed it a silent tape, then a recording of a kettle boil, and watch the detector stay quiet. If it only flags the 7‑Hz spike in the cat’s meow, we’ll know it’s not going to mistake a hallway draft for a phantom. I’ll keep the thresholds tight, and maybe add a “known‑noise” whitelist so the algorithm learns the difference between a creak and a choir of spirits. Just give me the sample file, and I’ll spin up the script.
Sure thing, just drop the file in the folder, and I’ll run the script. Just don’t expect it to explain the mystery—if it flags something, I’ll still be the one asking what’s really going on.
Got the file, launching the detector now. It’ll spit out a list of timestamps with 7‑Hz peaks; you do the rest.
Alright, let’s see what those peaks look like. If it keeps pulling out nothing but kitchen noises, I’ll say you’re onto something. If it starts flagging every creak, you’re in for a wild ride. Let's fire it up.