Audio onset detection using energy-based and pitch-based processing

Leveraging on the strength of energy-based processing for transient detection and pitch-based processing for softer onsets detection, we present a system that combines both energy and pitch cues for detecting onsets from different instrument categories. Given an audio input from an arbitrary instrument category, the system performs preliminary onset categorization based on the general note characteristics and then performs onsets integration based on the categorization. In addition, the proposed pitch processing technique explores musically relevant features extracted from the chromagram, which are robust for detecting pitch changes. The proposed system showed good detection performance on the MIREX audio onset detection dataset.