Recent work in note onset detection has centered on deep learning models such as recurrent neural networks (RNN), convolutional neural networks (CNN) and more recently temporal convolutional networks (TCN), which achieve high evaluation accuracies …
Detection of note onsets in string instruments is still a major challenge in music signal processing. Previously, we used the annotations of four musicians (based on the Hayden Op74 finale, normal speed, repetition 12, bar 1-49s) to define the …
This study investigated the effects of changes in leadership on microtiming patterns of different players within a string quartet. By quantising note onset positions within eighth-note metrical structure of bar-length rhythmic patterns, it is …
Onset detection is the process of identifying the start points of musical note events within an audio recording. While the detection of percussive onsets is often considered a solved problem, soft onsets-as found in string instrument recordings-still …