00961nas a2200157 4500008004100000245007700041210006900118260003800187520044500225653002000670653001700690100002100707700001900728700002000747856003600767 2013 eng d00aEnhanced peak picking for onset detection with recurrent neural networks0 aEnhanced peak picking for onset detection with recurrent neural aPrague, Czech RepubliccSeptember3 a
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.
10aonset detection10apeak-picking1 aBöck, Sebastian1 aSchlüter, Jan1 aWidmer, Gerhard uhttp://phenicx.upf.edu/node/11000469nas a2200133 4500008004100000245006300041210006300104260003800167653003400205653002000239100001900259700002100278856003600299 2013 eng d00aMusical Onset Detection with Convolutional Neural Networks0 aMusical Onset Detection with Convolutional Neural Networks aPrague, Czech RepubliccSeptember10aconvolutional neural networks10aonset detection1 aSchlüter, Jan1 aBöck, Sebastian uhttp://phenicx.upf.edu/node/111