This is a simple music visualizer I made. Sync works best in Turbo Mode. Since Snap! doesn't have any built-in instruments, I had to import a piano sound file which ends up pretty weird. I added a couple built in songs of my own, but you can make your own if you want. Just choose the last song in the palette, duplicate it, and edit the list entries 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This is a simple music visualizer I made. Sync works best in Turbo Mode. Since Snap! doesn't have any built-in instruments, I had to import a piano sound file which ends up pretty weird. I added a couple built in songs of my own, but you can make your own if you want. Just choose the last song in the palette, duplicate it, and edit the list entries (pitch,position,length).

item 1 of data is the pitch of the note. Pitch mod 12 + 1 returns the item number the list should use to call the frequency. it then multiplies the frequency by 2^ the octave.

e3

48 C 50 D 52 E 53 F 55 G 57 A 59 B 60 C60 C 62 D 64 E 65 F 67 G 69 A 71 B 72 Cpitch, position, length72 C 74 D 76 E 77 F 79 G 81 A 83 B 84 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