Hmm, not quite. Shazam's approach is more optimized for exact matches. Mine tries to be more optimized for similar matches (if that makes sense lol). So my app

Hmm, not quite. Shazam's approach is more optimized for exact matches. Mine tries to be more optimized for similar matches (if that makes sense lol). So my approach is intentionally a bit fuzzier than something like Shazam, since apart from exact matches, you also ideally want a continuous representation for music similarity (so you can find songs that are 80-90% similar, for example). That is hard to do for approaches optimized at exact matches (which usually use something like audio fingerprinting, etc.)