|
Post by ragan on Feb 18, 2021 16:23:37 GMT -6
If there's already a thread about this, we can delete this one.
I don't know if they're really using NN's in this thing but the profiling is very impressive. There's a direct comparison to Kemper profiles in the vid. You can also download the WAVs of the comparison.
What do ya'll think? I think this is pretty cool, the capturing anyway.
|
|
kcatthedog
Temp
Super Helpful Dude
Posts: 16,024
Member is Online
|
Post by kcatthedog on Feb 19, 2021 4:51:18 GMT -6
Thought it was cool but neither box was actually 1:1 capturing the amp sound ? T
he QC was thinner, less bottom end and kind of hyped the top a bit ? The Kemper I thought sounded a little closer to the actual amp sound ? If you were not comparing to the actual amp sound both the QC and Kemper seem like very powerful tools ?
Thx for posting.
|
|
|
Post by ragan on Feb 19, 2021 10:03:44 GMT -6
Thought it was cool but neither box was actually 1:1 capturing the amp sound ? T he QC was thinner, less bottom end and kind of hyped the top a bit ? The Kemper I thought sounded a little closer to the actual amp sound ? If you were not comparing to the actual amp sound both the QC and Kemper seem like very powerful tools ? Thx for posting. I downloaded and blind AB’d in the DAW and I think the Neural is *a lot* closer to the amp. When he does those chord jabs you can hear exactly The Kemper Sound that I disliked so much when I had Kempers.
|
|
kcatthedog
Temp
Super Helpful Dude
Posts: 16,024
Member is Online
|
Post by kcatthedog on Feb 19, 2021 11:33:22 GMT -6
Ya, you could hear how net sound was negatively affecting what you were hearing!
|
|
|
Post by ragan on Feb 19, 2021 12:18:10 GMT -6
I listened blind first and I could immediately hear "oh, that ones the Kemper" but then the other two were very close. I could tell them apart, but wasn't sure which was the amp and which was the Neural thing. I think I guessed wrong the first time.
Anyway, this is much more promising and interesting 'profiling' tech to me. Also I just took machine learning and so did a lot of stuff with neural nets so I guess I kind of like it on that front.
|
|