SuperFluxExtractor¶

streaming mode | Rhythm category

Inputs¶

signal (real) - the input audio signal

Outputs¶

onsets (vector_real) - lists of onsets

Parameters¶

combine (real ∈ (0, ∞), default = 20) :
time threshold for double onsets detections (ms)

frameSize (integer ∈ (0, ∞), default = 2048) :
the frame size for computing low-level features

hopSize (integer ∈ (0, ∞), default = 256) :
the hop size for computing low-level features

ratioThreshold (real ∈ [0, ∞), default = 16) :
ratio threshold for peak picking with respect to novelty_signal/novelty_average rate, use 0 to disable it (for low-energy onsets)

sampleRate (real ∈ (0, ∞), default = 44100) :
the audio sampling rate [Hz]

threshold (real ∈ [0, ∞), default = 0.05) :
threshold for peak peaking with respect to the difference between novelty_signal and average_signal (for onsets in ambient noise)

Description¶

This algorithm detects onsets given an audio signal using SuperFlux algorithm. This implementation is based on the available reference implementation in python [2]. The algorithm computes spectrum of the input signal, summarizes it into triangular band energies, and computes a onset detection function based on spectral flux tracking spectral trajectories with a maximum filter (SuperFluxNovelty). The peaks of the function are then detected (SuperFluxPeaks).

References:: [1] Böck, S. and Widmer, G., Maximum Filter Vibrato Suppression for Onset Detection, Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13), 2013 [2] https://github.com/CPJKU/SuperFlux

Source code¶

C++ source code

C++ header file