chromaprint VS BeetsPluginXtractor

you could always cut up the video into segments A,B,C,D,E using like ffmpeg -ss 00:00:00 -t 00:10:00 -i input -c copy A.ext (where A is the first 10 minutes of video) and then recombine with https://trac.ffmpeg.org/wiki/Concatenate, might take a while though and some basic math. maybe you could do something programatically with chromaprint by identifying the repeating audio segments? that's just an idea since that's what this jellyfin plugin does to identify repeated segments of shows in the form of opening credits.

I'm currently doing the same. I'm using the chromaprint library via the pyacoustid library, using the technique described here, which should give a certain amount of leeway in terms of pitch and other variables. See also the notes in the chromaprint documentation about truncating the samples to reduce noise.

There is a music fingerprinting project called Chromaprint. The fingerprints generated by this library are widely used in music database, including Musicbrainz.

Or do it all via audio analysis: https://essentia.upf.edu/index.html (this does it in python: https://github.com/adamjakab/BeetsPluginXtractor for the Beets music library and auto-tagger (also written in python)).