%0 Conference Paper %B Proceedings of the 6th International Workshop on Machine Learning and Music %D 2013 %T Enhanced peak picking for onset detection with recurrent neural networks %A Sebastian Böck %A Schlüter, Jan %A Widmer, Gerhard %K onset detection %K peak-picking %X
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.
%B Proceedings of the 6th International Workshop on Machine Learning and Music %C Prague, Czech Republic %8 September %G eng