urh VS dejavu

>> or somewhat expensive and complex SDR

I don’t think that’s as accurate today as it used to be.

On the hardware side there are tons of options very cheaply available - iirc the flipper uses the c1100 (or a number like that) it’s a popular cheap chip and it’s well documented and interfaces easily with arduino.

More accessibly, lime mini SDRs are cheap but there’s quite a few alternatives too.

On the software side GNU Radio is free with decent tutorials - we’re not talking anything like blender levels of difficulty to adopt even if it is a complex domain.

Although on the more accessible side, urh is incredibly powerful given how easy to use it is https://github.com/jopohl/urh

I used the latter to tap into a 2 channel wireless bbq thermometer via a $10 rtl sdr and that was a breeze, an absolute walk in the park compared to when I reverse engineered the flysky telemetry system.

Universal Radio Hacker on Github

you should check out Universal Radio Hacker

Check out URH.

URH can read flipperzero sub files and can export from wav to sub... https://github.com/jopohl/urh

Throw the recording at UniversalRadioHacker and see what it does with it!

I dont have much knowledge on decoding a signal from scratch but try URH - universal radio hacker here. It might be able to do what you need.

It's useful for transmitting digital RF signals to control household stuff, eg. ceiling fans or whatever. You'd want to also look into rtl-sdr and Universal Radio Hacker.

Tried tool https://github.com/jopohl/urh and it does not get too much information. I am expecting to find something similar to wireshark - it can detect protocols in traffic and highligh different kind of fields in packet headers.

This doesn't seem hard, you can use something like this to dwoanload the songs: https://stackoverflow.com/a/27481870/6151784 and something like this to calculate how much they match: https://github.com/worldveil/dejavu The question is would you create a (dedicated) server to do your work? Or your own pc? You could also create a very simple page where someone would paste you a YouTube profile URL and you would check all songs of this URL. Also to have a db and save information about the matching and which youtube profiles have alsready been checked. Something like that could work.

If you read the installation.md file it clearly states that it has only been tested on UNIX systems, so you might be on your own trying to get it to wor in windows.

Using neural networks seems complicated, did you tried audio fingerprinting? I have been using this audio fingerprinting library to power this anime song synchronization script. You can check Panako and dejavu too.

I want to say these few seconds match these few seconds from a different audio track. Using dejavu raw has overhead I do not need/want and hence I've been fiddling around with the fingerprint script. When modifying the global variables I can get better hits or worse hits, I will admit that even after reading there recommended article and many other sources, I can't find some good explanations about the mathematics behind the filtering after the specgram has been applied. As far as a I am aware we first apply filters to find/make fine points across the spectrogram after that we only check the distance between points along the time axis not the frequency or a hypotenuse (weird).

I used a repo called https://github.com/worldveil/dejavu to compare audio hashed fingerprints and distinguish the difference between them.