Dex & StoneHarbor
Hey Dex, I’ve been digging into some old sonar logs from the lost Spanish galleons, and I think there’s a pattern in the echo noise that could be decoded with a neural net. Think we can give it a shot?
Sounds like a neat challenge, let’s pull up the data and start building a model. We’ll clean the logs, extract the echo features, and feed them into a neural net. Just keep the data tidy and we’ll see what patterns emerge. Happy hacking!
Sounds good. Let’s pull the raw files, strip out any irrelevant metadata first, then use a spectrogram to isolate the echo tones. Once we have a clean feature set I’ll run a small CNN to see if it picks up any repeating motifs. Keep an eye on the noise floor—those old decks can be pretty choppy. If we find something, it could be the first real clue to the wreck’s hidden chamber. Let’s get to it.
Sounds solid. I’ll grab the raw files and strip the metadata right away. Once we have the clean spectrograms, let’s watch the noise floor carefully and run the CNN on a small batch. If any motifs pop up, we’ll have a good lead on that hidden chamber. Let’s dive in.