▲ | elevation a day ago | ||||||||||||||||
When I was 14 I would have wanted to "shred at 220bpm" but today I wouldn't get my wallet out for that. What I really would pay for is help getting into the pocket. Anyone who can read a guitar tab can play the notes of "Superstition" by Stevie Wonder. But simply playing the notes against a metronome sounds mechanical -- the song only comes to life when you get the timings right (both the note attack and decay have to be timed for a "swing.") A good swing will practically force your audience to start dancing to your music -- it's magical! But it's very difficult to learn because regular metronome practice won't achieve it. If you're measuring "rush and drag" against a straight metronome, could you also measure against a swung time, perhaps against timings extracted from in-the-pocket songs we know and love? | |||||||||||||||||
▲ | lblack00 a day ago | parent [-] | ||||||||||||||||
> When I was 14 I would have wanted to "shred at 220bpm" but today I wouldn't get my wallet out for that. That's fair, essentially why I put "shred" in quotes originally is that shredding guitar isn't necessarily playing fast. You laid out a nice example with Superstition for that. I don't see why that couldn't be implemented in some way (accenting specific notes and different sustain times). What would be difficult is quantifying note attack exactly for XYZ's riff sections. I.e., what constitutes a relative baseline pick attack and the target pick attack. If we are using a float and define the "normal" attack as 0.5, then how do we know, for example, the first or fifth note in the iconic Superstition riff is 0.85? Is it empirical? Either way, that is a lovely insight I will consider. Matching another guitarist's intonation down to a tee can be extremely difficult, but very rewarding. | |||||||||||||||||
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