The recent surge in the use of Deep Neural Networks (DNNs) has also made its mark in the
field of Audio Enhancement (AE), providing much better quality than the classical methods …

In this work we present a new approach for the task of predicting fingerings for piano music.
While prior neural approaches have often treated this as a sequence tagging problem with …

It has been a long-standing research goal to endow robot hands with human-level dexterity.
Bi-manual robot piano playing constitutes a task that combines challenges from dynamic …

Recently, artificial intelligence techniques for education have been received increasing
attentions, while it still remains an open problem to design the effective music instrument …

Piano playing is a skillful activity that involves complex movements of the hands and fingers.
These movements can provide additional insight into a musical performance. Traditional …

Visual detection of fingering on the trumpet is an increasingly interesting topic in music
research. The ability to recognize and track the movements of the trumpet player's fingers …

Fingering is crucial for piano performance. Unlike other instruments with relatively fixed
fingerings, keyboard instruments offer countless fingering combinations. As musical styles …