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In this paper, a method for onset detection of music signals using auditory spectra is proposed. The auditory spectrogram provides a time-frequency representation that employs a sound processing model resembling the human auditory system. Recent work on onset detection employs DFT-based features describing spectral energy and phase differences, as well as pitchbased features. These features are often combined for maximizing detection performance. Here, the spectral flux and phase slope featuresdoi:10.1109/tasl.2010.2040785 fatcat:ycesxbueafearknnis2anot2eq