object PV_HainsworthFoote extends ProductReader[PV_HainsworthFoote] with 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
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- 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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