I'm aware that OpenCV may not be able to completely achieve what I'll outline below. This forum seemed like a good place to ask this question, since there seems to be quite a few people with extensive knowledge of OpenCV and other related libraries.
I'm working on a project that boils down to this, primarily :
Analyze three audio files, and translate them into audio fingerprint images. The idea is to utilize the Chromaprint/AcoustID(http://acoustid.org/chromaprint) technology, which is available in C and Python, I think.
Take the resulting audio fingerprint images, compare the images, and determine the amount of similarities between each fingerprint.
Output some display of the amount of similarities between them.
Is there a way to utilize Chromaprint, with OpenCV to do this?
Here you can see what the actual audio fingerprint images look like :
https://oxygene.sk/2011/01/how-does-chromaprint-work/
Does anyone have a suggested process for solving this?
Should I not be using OpenCV to do this, and instead be using a different library?
I'm not expecting an entire step-by-step on how to do this, just whatever information I can gather. There are some other aspects of this involving translating the data in the images to specific colors, but I figure I should ask one question at a time instead of all my questions at once ...
Thank you!
