Thanks for running the test again. That is frustrating... I am still on team Fractal.
Please keep in mind that I'm no expert on this, but I just did a simple test: I ran a test file provided by @jay mitchell in another discussion about aliasing through three different Tonex captures (using the plugin). The captures were a Fender BF Twin, a Mesa MkIIC+ and a Mesa Dual Rec, thus covering different gain levels.
Twin:
MkIIC+:
Dual Rec:
Aliasing is generated whenever there's an algorithm that creates distortion digitally, cuz harmonics created by the distortion are multiples of the signal and you need a much higher sample rate than what's needed for the audible range... that's why oversampling is used to mitigate this problem usually.I see
Yes, can I ask what the source of the aliasing would be? For instance, if they sample at 96K, you should be above Nyquist criterion....so hopefully you capture the source signal properly. Would the aliasing effects then somehow come from the modeling part? (which, they're applying a neural network approach and trying to get error below a threshold)
Aliasing is generated whenever there's an algorithm that creates distortion digitally, cuz harmonics created by the distortion are multiples of the signal and you need a much higher sample rate than what's needed for the audible range... that's why oversampling is used to mitigate this problem usually.
Tonex models run at 44.1 kHz natively (on the plugin at least).
PS: watch this video
Advertizing aside...So does this matter? I guess different people feel differently about it. But as far as I'm concerned, I don't appreciate that IK put "no aliasing whatsoever" in one of their six bullet points about the Tonex Tone Modeling Features when that's clearly not the case.
(And personally, I do think this matters beyond false marketing claims.)
Spoken like a guy who has a Tone X on the wayThis is just weird petty shit, imo.
It might not meet my standards. But.. if the ToneX doesn't (based on null tests) the other ones aren't likely to either. I think I will be happy with it.Spoken like a guy who has a Tone X on the way
It might not meet my standards. But.. if the ToneX doesn't (based on null tests) the other ones aren't likely to either. I think I will be happy with it.
And while I didn't like how the Helix sounded when I tried it last, before their major update, many people didn't care, so obviously some aliasing is not a deal breaker.
If someone is picking on the ToneX, they are picking on all the profilers (and probably many of the modelers.) If I had to guess, Fractal has the highest level of oversampling so it is going to be most immune to complaints about aliasing.
Its a slippery slope though. I wouldn't be surprised if some of the PC sims have even higher oversampling than the fractal.
Kemper had to address some amount of aliasing when it first launched, because people could hear very odd wolf tones and discrepancies in the high frequencies, particularly when playing high notes and double stop bends. It was very obvious back in 2011/2012.I definitely hear you. Wondering how much aliasing translates to playing and hearing. I was quite happy with Kemper, but people came over and told me "stop having fun and look at these nulls tests." (obviously joking).
I would definitely like to see these aliasing tests done on Michael Britt profiles, I bet there would be significantly less aliasing and would look good in a null test since the whole capture process is a science/art that not many people have. We don't have the exact amps he used or the settings he used, so this isn't possible, but still would be nice.
I still want to know the relationship between null tests and aliasing artifacts. You'd think a good null test would mean a good aliasing test. But this is above my paygrade.
I think I'm team fractal now though.
My only misgiving about the ToneX is there will probably be a v2 in the near future. I've waited long enough to jump on the profiling train. It finally got accessible enough.I definitely hear you. Wondering how much aliasing translates to playing and hearing. I was quite happy with Kemper, but people came over and told me "stop having fun and look at these nulls tests." (obviously joking).
I would definitely like to see these aliasing tests done on Michael Britt profiles, I bet there would be significantly less aliasing and would look good in a null test since the whole capture process is a science/art that not many people have. We don't have the exact amps he used or the settings he used, so this isn't possible, but still would be nice.
I still want to know the relationship between null tests and aliasing artifacts. You'd think a good null test would mean a good aliasing test. But this is above my paygrade.
I think I'm team fractal now though.
Yes, I've done the capture myself (captured an amp from the FM9) and also matched levels and gain to make sure to have a fair comparison.Thanks for sharing. I was struggling to understand your plots, but the video explained it well.
If that's the case then, in your post that you linked, the FM9 looked the best right? Because the harmonics weren't being reflected back.
And also (I'm sure you've mentioned it, but I'm new to the topic and struggling to catch up) did you do the tonex/NAM captures yourself? I wonder if Tonex/NAM is like Kemper, where most people's captures aren't as good as the people (like M Britt) who have figured out the secret science behind it. Just thinking out loud though.
Both NAM/Tonex seem to perform well under Null tests. What is the relation between good null tests and bad aliasing?
When you tested the ToneX, did you test the software or the pedal?@blandified forgot to answer the first part of your question... Yes, FM9 looks the best cuz it has proper oversampling (8x iirc), there's still a low amount of aliasing but it's inaudible, and you don't see the point of reflection on those lines cuz it would be way outside the graph (if it's 8x oversampled, they reflect back at 192 kHz)
Software, I don't have a pedal... Anyway folks, pretty much all these questions and more are already answered in the original thread I linked above.When you tested the ToneX, did you test the software or the pedal?
Null tests of nonlinear devices (guitar amps are always highly nonlinear) tell you very little. No modeler/profiler/capture device/plug can ever produce a perfect null for the range of signals a guitar puts out, so null tests are approximations. There's always a background level of error signal: noise, etc. Trying to set a single criterion - e.g., total error at -XdB wrt signal - does not account for the type of error. Random (white) noise is one type. Replication error (mismatch between linear and/or nonlinear device behavior) is another. Aliasing is yet another. The audibility - and therefore the relevance - of the types is not the same. Relatively large amounts of noise error in a null test may be irrelevant. Because noise is random, it will never null. Linear replication error - error in matching the linear frequency response of a device - would potentially be audible but is easiest to achieve a null with. Nonlinear replication error can potentially result in an excellent null at one choice of input level but much a worse null at lower or higher levels. Aliasing is audible at much lower levels than is random noise. Any amount of aliasing in a device will degrade a null test result, but a null test is a very poor means for quantifying it, as it can lie well below the level of random noise and still be audible and objectionable.Kemper apparently doesn't null as well as the others, but people still love it.
This sounds plausible. Like I said people still love the Kemper.Null tests of nonlinear devices (guitar amps are always highly nonlinear) tell you very little. No modeler/profiler/capture device/plug can ever produce a perfect null for the range of signals a guitar puts out, so null tests are approximations. There's always a background level of error signal: noise, etc. Trying to set a single criterion - e.g., noise at -XdB wrt signal - does not account for the type of error. Random (white) noise is one type. Replication error (mismatch between linear and/or nonlinear device behavior) is another. Aliasing is yet another. The audibility - and therefore the relevance - of the types is not the same. Relatively large amounts of noise error in a null test may be irrelevant. Because noise is random, it will never null. Linear replication error - error in matching the linear frequency response of a device - would potentially be audible but is easiest to achieve a null with. Nonlinear replication error can potentially result in an excellent null at one choice of input level but much a worse null at lower or higher levels. Aliasing is audible at much lower levels than is random noise. Any amount of aliasing in a device will degrade a null test result, but a null test is a very poor means for quantifying it, as it can lie well below the level of random noise and still be audible and objectionable.
Claiming "no aliasing whatever" for the device used to make the clips in this thread is either woefully clueless or flagrantly dishonest.