Tempo Estimation by Modelling Perceptual Speed
نویسندگان
چکیده
This paper describes a tempo estimation system submitted to MIREX 2013. The proposed algorithm detects onsets from harmonic/percussive-separated audio. Perceptual tempo is modeled in a multiple linear regression as a function of onset densities, difference in sound level of the harmonic and percussive part, IOIs of clustered components, as well as spectral fluctuations. Periodicity histograms are generated based on IOIs between onsets, where the contribution to the histogram of each IOI is weighted to account for spectral properties of the onsets as well as salience. Finally peaks of the histograms are chosen in a logistic regression model based on peak height and estimated perceptual speed.
منابع مشابه
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