Python reference implementation of the SuperFlux onset detection algorithm described in:
"Maximum Filter Vibrato Suppression for Onset Detection" by Sebastian Böck and Gerhard Widmer in Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland, September 2013
The paper can be downloaded from http://phenicx.upf.edu/system/files/publications/Boeck_DAFx-13.pdf.
SuperFlux.py input.wav processes the audio file and writes the detected onsets to a file named input.onsets.txt.
Please see the -h option to get a more detailed description of the available options.
- Python 2.7
- Numpy
- Scipy