We provide a deep-learning-based violin fingering generation system that directly exhibits the generated results on the GUI. Given a violin score, our system can generate violin fingering with three ...

For intput of the model, each note is represented by its pitch, onset, duration, and beat type. We have developed a simple GUI that allows users to interact with the violin fingering generation model.

This is achieved by first analyzing an audio signal to determine the most likely sequence of two-dimensional fingerboard locations (string number and location along the string), which recovers ...