Audio reactivity #

FFT functionality is available via an audio object accessed via “a”. The editor uses https://github.com/meyda/meyda for audio analysis. To show the fft bins,

a.show()

Set number of fft bins:

a.setBins(6)

Access the value of the leftmost (lowest frequency) bin:

a.fft[0]

Use the value to control a variable:

osc(10, 0, () => a.fft[0]*4)
  .out()

It is possible to calibrate the responsiveness by changing the minimum and maximum value detected. (Represented by blur lines over the fft). To set minimum value detected:

a.setCutoff(4)

Setting the scale changes the range that is detected.

a.setScale(2)

The fft[] will return a value between 0 and 1, where 0 represents the cutoff and 1 corresponds to the maximum.

You can set smoothing between audio level readings (values between 0 and 1). 0 corresponds to no smoothing (more jumpy, faster reaction time), while 1 means that the value will never change.

a.setSmooth(0.8)

To hide the audio waveform:

a.hide()

a.setBins(5) // amount of bins (bands) to separate the audio spectrum

noise(2)
	.modulate(o0,()=>a.fft[1]*.5) // listening to the 2nd band
	.out()

a.setSmooth(.8) // audio reactivity smoothness from 0 to 1, uses linear interpolation
a.setScale(8)    // loudness upper limit (maps to 0)
a.setCutoff(0.1)   // loudness from which to start listening to (maps to 0)

a.show() // show what hydra's listening to
// a.hide()

render(o0)