NEURAL AMP MODELER [NAM] || Better than ToneX, and 100% FREE! [with Capture-Comparison]

There is a new king that reigns supreme in the realm of capturing the sound of your analog rig, and it's... not ToneX?!
Neural Amp Modeler (NAM) is an open source project by Steve Atkinson and offers "tone capturing" accuracy even better than IK Multimedias latest greatest release, ToneX!

In this video, I talk a bit about why this is the case and also demonstrate this by comparing both a NAM and a ToneX capture against my real deal Bugera 6262, boosted by an MXR M77!

NOTE: I already had this video uploaded yesterday, but I had a crucial mistake in my methodology in doing the Null-test, as I have not set up any latency compensation whatsoever. I redone that portion of the video to be 100% truthful and accurate as possible when comparing these two plugins.

0:00 What is NAM?
1:35 How is NAM better?
4:00 Where to download NAM
8:30 RIFFING (finally!)
13:10 AMP vs. NAM vs. ToneX
20:50 NAM vs. ToneX (Riff-Noodling)
22:10 Conclusion

Background music: Serenity by ‪@Pufino‬ via ‪@FreeToUseMusic‬.
Follow Pufino: https://open.spotify.com/artist/74lQ2...


LINKS:
- Where to find NAM:
https://github.com/sdatkinson/NeuralA...

- How to train your models using Google Colab:
   • How to use NAM Neural Amp Modeler   E...  

- How to train your models using your local GPU:
   • Neural Amp Modeler (NAM): train amp m...  

- My self-created models:
https://drive.google.com/drive/folder...

Facebook Community Group:
  / 5669559883092788  

Let me know what you think about this video, like, share, subscribe and all that jazz!

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Gear used:
Guitars: Partscaster w/ Seymour Duncan SH-5 in Bridge Position
Audio Interface: Audient iD44
Camera: Logitech StreamCam
Software: Open Broadcast Software (OBS), REAPER

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If you liked the music/riffs in this video, you perhaps like my band TEMPEST, Thrash Metal from Germany - check it out:   / tempestmetal  

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My affiliate link for Celestion Digital Impulses:
https://www.celestionplus.com/ref/233/