[aubio-user] Onset detection in Python

Lukasz Tracewski lukasz.tracewski at outlook.com
Mon Mar 17 22:13:22 CET 2014


I am using 0.4.1 release of aubio to do onset detection on monaural audio that is already in computer's memory. In essence, I am loading a WAVE file with scipy, doing some essential filtering and only then performing onset detection. What would be the best way? 

Here is what I have:

        onset_detector = onset("energy", window_size, hop_size, sample_rate)
        onsets = []

        windowed_sample = numpy.array_split(sample, numpy.arange(hop_size, len(sample), hop_size))
        for frame in windowed_sample:
            if onset_detector(frame):

So in fact it simulates reading file from a disc, following what is in examples. One of problems I have with this approach is that I am always detecting onset at zero. Is there a smarter solution? 

Thanks for the great work!

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