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object PV_JensenAndersen extends Serializable

An FFT based onset detector UGen using a mix of extracted features. It is based on work described in Jensen and Andersen (2003), "Real-time Beat Estimation Using Feature Extraction," in: Proceedings of the Computer Music Modeling and Retrieval Symposium.

First order derivatives of the features are taken. The threshold may need to be set low to pick up on changes.

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

Onsets

PV_HainsworthFoote

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  4. def ar(chain: GE, centroid: GE = 0.25f, hfe: GE = 0.25f, hfc: GE = 0.25f, flux: GE = 0.25f, thresh: GE = 1.0f, waitTime: GE = 0.04f): PV_JensenAndersen

    chain

    the fft signal (buffer) to analyze

    centroid

    proportion (0 to 1) of spectral centroid feature

    hfe

    proportion (0 to 1) of high frequency energy feature

    hfc

    proportion (0 to 1) of high frequency content feature

    flux

    proportion (0 to 1) of spectral flux feature

    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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