Audio Visualizations

[Mitsuma]

A simple test with the "bake sound to f-curve" function in Blender 3D.
Music: Deer People - New Dance
Software: Blender 3D 2.60
Renderer: Cycles
80 Samples per frame
(plus glare in the compositer)
4340 Frames
2.5-4.5s per frame
4h 59min total

[Mitsuma]

Bumping my old thread with two new visualizations.

"Neimer - Two Hearts Together"

Watch in 720p (or 1080p)
Software: Blender 3D 2.60
Renderer: Cycles
1080p
170 Samples per frame
(plus glare in the compositer)
7503 Frames (incomplete)
9-12s per frame
(Don't know how long)

Quipkick - Dark Matter

Watch in 720p
Music: Quipkick - Dark Matter
http://www.youtube.com/user/TheOfficialQuipkick

Software: Blender 3D 2.61
Renderer: Cycles
720p
500 Samples per frame
(plus glare in the compositer)
4700 Frames
~25s per frame

And two 1080p images from the last video.



(click for 1080p)

[xabotage]

I have to ask, did you isolate the lows, mids, and highs (frequency) externally, or did you use the f-curve simplifier at varying degrees?

[LuccasBode]

I love audio visualization animations, i need to make one

[Mitsuma]

I have to ask, did you isolate the lows, mids, and highs (frequency) externally, or did you use the f-curve simplifier at varying degrees?

You can choose what frequency you want to bake.


The three big parts are bass, mids and highs.
0-150Hz, 150-2000Hz, 2000-100000Hz
The three smaller parts are
lows: 0-40Hz, 40-100Hz, 100-150Hz,
mids: 150-400Hz, 400-1000Hz, 1000-2000Hz,
highs: 2000-3500Hz, 3500-6000Hz and 6000-100000Hz.

[Atom]

The pie chart looks nice. So how do you map the data? It look like the amplitude is diving z-scale.

[Mitsuma]

I added keyframes for the scale and baked the sound to the Z f-curve in the graph editor.