Packages

object PV_HainsworthFoote extends Serializable

An FFT based onset detector UGen using a balance of two features. It is based on work described in Hainsworth (2003), "Techniques for the Automated Analysis of Musical Audio," PhD thesis, University of Cambridge. See especially p. 128. The Hainsworth metric is a modification of the Kullback Liebler distance.

Examples
// observe detection
play {
  val sig = Decay.ar(Dust.ar(2), 0.1) * WhiteNoise.ar(0.25)
  val th  = MouseX.kr(0.3, 1.0, lag = 0)
  th.poll(HPZ1.kr(th).abs, "thresh")
  val h   = MouseY.kr(1.0, 0.1, lag = 0)
  val f   = 1 - h
  h.poll(HPZ1.kr(h).abs, "h-f")
  val tr  = PV_HainsworthFoote.ar(FFT(LocalBuf(2048), sig), h, f, thresh = th)
  Seq(sig, SinOsc.ar(440) * Decay.ar(tr * 0.01, 0.1))
}
See also

Onsets

PV_JensenAndersen

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  4. def ar(chain: GE, hainsworth: GE = 0.0f, foote: GE = 0.0f, thresh: GE = 1.0f, waitTime: GE = 0.04f): PV_HainsworthFoote

    chain

    the fft signal (buffer) to analyze

    hainsworth

    what strength of detection signal from Hainsworth metric (0 to 1) to use.

    foote

    what strength of detection signal from normalized Foote metric (0 to 1) to use.

    thresh

    threshold level for detection

    waitTime

    after an onset is detected, further detections are suppressed for this period in seconds, preventing multiple rapid triggers

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