Enhanced peak picking for onset detection with recurrent neural networks

Submitted by sboeck on Fri, 27/09/2013 - 15:52

Title	Enhanced peak picking for onset detection with recurrent neural networks
Publication Type	Conference Paper
Year of Publication	2013
Authors	Böck, S, Schlüter, J, Widmer, G
Conference Name	Proceedings of the 6th International Workshop on Machine Learning and Music
Date Published	September
Conference Location	Prague, Czech Republic
Keywords	onset detection, peak-picking
Abstract	We present a new neural network based peak-picking algorithm for common onset detection functions. Compared to existing hand-crafted methods it yields a better performance and leads to a much lower number of false negative detections. The performance is evaluated on basis of a huge dataset with over 25k annotated onsets and shows a significant improvement over existing methods in cases of signals with previously unknown levels.