|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|
|Conference Location||Prague, Czech Republic|
|Keywords||onset detection, peak-picking|
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.