Piano Cover

Automatic piano cover generation aims to create piano arrangements of existing songs, focusing on accurately reproducing the melody and harmony while adding artistic interpretation. Recent research employs deep learning models, often leveraging transfer learning and techniques like transformer networks, to generate these covers from audio input or symbolic representations (e.g., lead sheets). These advancements address challenges in data availability and model expressiveness, leading to more realistic and musically pleasing results. This field contributes to both music information retrieval and automated music composition, potentially impacting music production and creative applications.