A Change Discrimination Onset Detector with Peak Scoring Peak Picker and Time Domain Correction

An onset detector is described based on the most successful onset detector for non-pitched percussive audio events from an earlier comparative study (Collins, 2005a). The detection function is an adaptation of the log intensity difference change discrimination originally introduced by Anssi Klapuri (Klapuri, 1999). A novel peak picking method is used based on scoring the most salient peaks with respect to the local function terrain. Discovered onset positions are corrected using parallel finer resolution time domain methods. The implementation is much faster than realtime and causal, being a conversion of code released for a real-time computer music system. In the MIREX evaluation, across both percussive and non-percussive onsets, the algorithm performed well on the former but was not successful on the latter. It was the most efficient and had the best overall time localisation of onsets of the algorithms in the contest