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We propose an algorithm for sound onset detection applying principles of psychoacoustics. A popular model of loudness perception in human auditory system is used to compute a novelty function that allows for a more robust detection of onsets. The psychoacoustics paradigm also allows us to define thresholds for the novelty function that are both physically and perceptually meaningful and hence easy to manipulate according to the application. The algorithm performs well with an overall accuracy of detection of 86% for monophonic audio and 82% for polyphonic audio.

A PSYCHOACOUSTICALLY MOTIVATED SOUND ONSET DETECTION ALGORITHM FOR POLYPHONIC AUDIO