Bottom line; I hate compressed audio that comes with movies on all streaming platforms. But I also don't want to maintain/purchase a library of Blu-Rays that contain the uncompressed audio.
So, it got me thinking;
1. Could you maintain reference data that compares the compressed signal of a known source with the uncompressed data of the known source, to create an audio feed that corrects/upconverts the audio back to or near the original quality? Something very basic that is in similar concept is Accurate Rip, which many of us use to correct CD rips based on multiple bit for bit comparisons. Essentially this is very similar, but on compressed audio.
-or- (since perhaps this involves DRM/Copyright issues)
2. Could AI/Machine learning (think DLSS but for Audio) restore/correct the compressed audio to something that's closer to the uncompressed audio?
So, it got me thinking;
1. Could you maintain reference data that compares the compressed signal of a known source with the uncompressed data of the known source, to create an audio feed that corrects/upconverts the audio back to or near the original quality? Something very basic that is in similar concept is Accurate Rip, which many of us use to correct CD rips based on multiple bit for bit comparisons. Essentially this is very similar, but on compressed audio.
-or- (since perhaps this involves DRM/Copyright issues)
2. Could AI/Machine learning (think DLSS but for Audio) restore/correct the compressed audio to something that's closer to the uncompressed audio?