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This is very humanizing. I like that.

Nicely done!

> Claude doesn’t have native audio input (yet), but it can run JavaScript and Python code that can analyze audio captured by a microphone.

LLMs can also do that with non-mic audio, btw. I had GLM (or was it qwen?) answer the question of "Why does the spotify version of the Metal Gear Rising" soundtrack sound so bad" - to great results.

Compared with the CD rips on archive.org, the noise floor was 27dB (!!!) higher, and, the whole thing was 10dB more compressed.

I cannot vouch for these specific numbers, but subtracting the good version from the bad one gave me a horrible delta wav file with lots to listen to, so there was definitely a _lot_ of difference.

It got the job done is what I want to say.

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Maybe I should try this.

I bought an album from Apple Music, it was “in flames - reroute to remain” an album I’m very fond of when growing up.

Turns out that the digital version just sounded like trash, it sounded very compressed, so I had to find a CD to rip.

Could be interesting to know how they butchered it.

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Wait, can you share the results?
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> I didn't mention this in the article, but this isn't the first time my family has been driven almost spare by a mysterious, hard-to-track beep.

https://xkcd.com/3100/

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The fun part about apartment living is the weird noise can be coming from a neighboring apartment you do not have access to or control to fix.
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Pff that sound is horrible, and sorta hard to locate (because of the pitch?). Anyway. None of my neighbours seem to care and in summer I used to hear an orchestra of beeps every 5 seconds. It was maddening, I was contemplating of buying 1000 batteries, print a manual and shoving it in peoples mailboxes, although somehow I think it wouldnt have made a difference. I moved out eventually (not because of the beeps)
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It’s because it doesn’t have enough overtones, or a notable attack. You might have noticed that some trucks these days make a weird noise when they back up instead of a beep. They’re using white noise because it’s easier to locate; it has many overtones that allow your brain to pick the sound out of the background more easily, and thus more easily correlate the signals from both ears. You get a much more accurate location just from hearing that sound than you ever could with a pure tone.
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Consider a pure sine wave, it's harder (in theory anyway) to match the signals from the left and right ears, and identify the time delay between the two signals: each cycle of the wave is just like the others, so there's no distinct signature to match and say "the sound reached the left ear 0.5 ms before it reached the right ear". This is especially the case for higher frequencies where there can be something like aliasing.

Animal species sometimes use this in different sounds they make. An alarm call has that kind of "smooth tone" characteristic, so a predator can't locate the source of the sound but it still works to raise the alarm. Meanwhile more social sounds are more "chirpy" and sharp, so they can locate each other.

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Interesting! I also feel the pulse is just to short… starting to question yourself if you actually heard something or that you are imagining it. Here the cars and trucks play musicals tunes or a crappy voice recording hahah
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That makes sense; we were searching for a family member’s blood sugar monitor just today and it barely seemed to come from any single direction. Ultimately it wasn’t the sound itself but the loudness of it that let us find it, because a blanket got shoved over it mid-search that we could deduce from there.
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Next step isto make an iphone app and robotic arm that throws it and catches it and uses the spinning motion of the phone to triangulate.

Then its solved.

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