Violin makers and musicians describe the timbral qualities of violins using semantic terms coming from natural language. In this study we use regression techniques of machine intelligence and audio features to model in a training-based fashion a set of high-level (semantic) descriptors for the automatic annotation of musical instruments. The most relevant semantic descriptors are collected thro...

A determination of the A0 and A1 cavity modes (here called collectively ”air modes”) in the violin has been made using CO2, helium and air/helium mixtures. The use of a “glove bag” enabled the atmosphere surrounding the violin to be better controlled than relying on the difference in density to displace the air inside the instrument. The cavity modes in CO2 and He were moved to frequencies as p...

We describe the ongoing development of a system to support the teaching of good posture and bowing technique to novice violin players. Using an inertial motion capture system we can track in real-time a player’s bowing action and how it deviates from a target trajectory set by their music teacher. The system provides real-time vibrotactile feedback on the correctness of the student’s posture an...

Today’s violin makers try to replicate the characteristics of the best ancient instruments, such as Stradivari’s. To this aim, they need templates to replicate the soundboard with as much accuracy as possible. Despite several attempts, surveys with laser scanning did not produce usable results, because the instrument’s varnish coating gives rise to multi-path and reflections. Controlling illumi...

The fact that acoustic radiation from a violin at air-cavity resonance is monopolar and can be determined by pure volume change is used to help explain related aspects of violin design evolution. By determining the acoustic conductance of arbitrarily shaped sound holes, it is found that air flow at the perimeter rather than the broader sound-hole area dominates acoustic conductance, and couplin...

Ensemble musicians typically exchange visual cues to coordinate piece entrances. "Cueing-in" gestures indicate when to begin playing and at what tempo. This study investigated how timing information is encoded in musicians' cueing-in gestures. Gesture acceleration patterns were expected to indicate beat position, while gesture periodicity, duration, and peak gesture velocity were expected to in...

Abstract Recent developments in data driven science, in particular computational biology, have led scientists to integrate data from several sources, over diverse experimental procedures, or databases. This alone poses a major challenge in truthfully visualising data, especially when the amount of data points varies between classes. To aid the presentation of datasets with differing sample size...

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Instrumental music performance ranks among the most complex of learned human behaviors, requiring development of highly nuanced powers of sensory and neural discrimination, intricate motor skills, and adaptive abilities in a temporal activity. Teaching, learning and performing on the violin generally occur within musico-cultural parameters most often transmitted through aural traditions that in...