I have extracted the addresses from the audio fingerprint, which are basically anchor frequency, target frequency and time difference between them encoded in 32-bit format which I'm calling "address".

Then I'm finding matching addresses in DB and grouping them in a hash map.
#buildinpublic

github.com/Pritam-deb/e... just to be sure, here is the link to my repo. Please do check it out.... And maybe even star ⭐ it if you like.😁

#buildinpublic #golang #backenddev #selflearning #backend #softwareengineering #softwaredeveloper

I have also made a function which will plot graphs, given an array of points.

This is to help visualise the samples or the points generated/affected.

For me visualising the waves helped a lot in my current progress.

#buildinpublic #selflearning #hireme

This attempt to do so because I wanted to be able to explain to someone else as well who is interested in this project but doesn't have the education background of digital signal processing like me.

#buildinpublic #selflearning

I traced back the root cause which turned out to be my Fast Fourier transform. Fixed it, now the spectrogram is completed, even checked for every beat! Labelled the x & y axis for reading.
#buildinpublic #golang
Now I need to store much more data🫩
Maybe I'll switch to using mongoDB for this project

Hey @danabra.mov I looked into the issue that you have posted on GitHub, and it looks like their client side application is open-source, is their backend open-source as well? Perhaps I would like to give it a shot at this issue!😁

Thank you very much @borkent.bsky.social 🙌

Nah, at this point I'm genuinely curious about what your feed looks like since you are on the verge of going on a rant🤣

If you know great material for engineering math for audio processing and anything related to that please reply to this thread with the link or your suggestions. I will appreciate that. Thank you! 😁

#buildinpublic #mathematics #math #maths #digitalsignalprocessing

Its cloudy in my location so I cant.

Can it run crysis though? 🗿

I even made a function to take the spectrogram generated and create an image so that I can see the output at least before using it further down the pipeline.

#buildinpublic #backenddev