Piano Fingering

Piano fingering, the selection of fingers for playing individual notes, is a crucial skill for pianists, and a significant area of current research focuses on automating its prediction and analysis. Researchers are employing various machine learning approaches, including neural networks (like GRUs and GANs) and reinforcement learning, to generate optimal fingerings from musical scores or audio, often incorporating biomechanical constraints and stylistic considerations. These advancements are leading to improved music education tools, more accurate score difficulty assessments, and the creation of large datasets for training and benchmarking new algorithms, ultimately enhancing both musical performance and pedagogical practices.