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 …
The ability to synchronise is a hallmark of professional music-making. Such synchronisation, without a conductor, is achievable by timing error correction, either through phase correction (Wing et al., 2014) or period correction (by adjusting the …
We present a plug-in for music production software (i.e., digital audio workstations) that simulates musicians synchronizing to other musicians, either virtual or controlled by users. Notes of the parts controlled by users are played according to …
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 …
When musicians play in ensemble, they continuously adapt to each other to ensure that the group keeps time together. This adaptation can be captured by a linear phase correction model, representing how they adjust to one another. The Augmented …
Interpersonal timing is important for creating a cohesive music performance in small ensembles without a conductor. Wing et al. (2014) proposed that phase correction underlies ensemble timing in classical quartet performance. They described two …
This study explored how musicians use visual cues during ensemble performances. Specifically, we looked at how motion synchrony varied with different playing styles, with the first violin as the lead player. We used an excerpt from the finale of …
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 …
When musicians play in ensemble, they continuously adapt to each other to ensure that the group keeps time together. The musicians’ timing correction can be captured by a linear phase correction model, where each player has a correction gain to other …