Chris Duxbury

On the use of phase and energy for musical onset detection in the complex domain

We present a study on the combined use of energy and phase information for the detection of onsets in musical signals. The resulting method improves upon both energy-based and phase-based approaches. The detection function, generated from the analysis of the signal in the complex frequency domain is sharp at the position of onsets and smooth everywhere else. Results on a database of recordings show high detection rates for low rates of errors. The approach is more robust than its predecessors both theoretically and practically.

A Combined Phase and Amplitude Based Approach to Onset Detection for Audio Segmentation

In this paper, we present a new approach to solving the problem of sound onset detection for note based segmentation of musical audio. The more traditional solution of looking at dierences in energy, and the more recently proposed approach of using deviations in expected phase characteristics have been combined to produce a more robust scheme, leading to overall improvements in detection accuracy.