Note onset detection using rhythmic structure

In this paper we explore the relationship between the temporal and rhythmic structure of musical audio signals. Using automatically extracted rhythmic structure we present a rhythmically-aware method to combine note onset detection techniques. Our method uses topdown knowledge of repetitions of musical events to improve detection performance by modelling the temporal distribution of onset locations. Results on a publicly available database demonstrate that using musical knowledge in this way can lead to significant improvements by reducing the number of missed and spurious detections.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Norberto Degara, Aantonio Pena, Matthew E. P. Davies, Mark D. Plumbley
• Keywords: Extracted Rhythmic Structure, ICASSP 2010, Musical Audio Signals, Rhythmic Structure, Signal Processing