What a clickbait title.
Sounds (to whom?) like a $600 (which one?) amp using deep learning (why does it matter?).
To expand on this:
-$600 tube amp is not description of a sound. And a plug-in is not something you plug your guitar into to make enough noise for 300 people. "A plug-in sounds like a $600 speaker" makes almost as much sense as the title; by the sound of an amp people often mean the sound of the combo box which houses an amp and a speaker.
-If this emulates a particular amp, the title should say which one
-If it does a good job at emulating a particular amp, where's the side by side comparison? The video demo only shows the plug-in.
-There are plethora of guitar amp plugins. What makes this one any different or better?
-What's the significance of deep learning here? Plenty of ways to make this plug-in without deep learning. Why use deep learning?
Etc, etc, etc.
"An open-source guitar amp VST plug-in made with deep learning" would be a better title, even though the article leaves much to be desired.
Sounds (to whom?) like a $600 (which one?) amp using deep learning (why does it matter?).
To expand on this:
-$600 tube amp is not description of a sound. And a plug-in is not something you plug your guitar into to make enough noise for 300 people. "A plug-in sounds like a $600 speaker" makes almost as much sense as the title; by the sound of an amp people often mean the sound of the combo box which houses an amp and a speaker.
-If this emulates a particular amp, the title should say which one
-If it does a good job at emulating a particular amp, where's the side by side comparison? The video demo only shows the plug-in.
-There are plethora of guitar amp plugins. What makes this one any different or better?
-What's the significance of deep learning here? Plenty of ways to make this plug-in without deep learning. Why use deep learning?
Etc, etc, etc.
"An open-source guitar amp VST plug-in made with deep learning" would be a better title, even though the article leaves much to be desired.