The article ‘Towards Robust and Truly Large-Scale Audio Sheet Music Retrieval’ discusses the application of deep learning in connecting large collections of sheet music to corresponding audio recordings. It identifies the main challenges in creating a robust and large-scale cross-modal music retrieval system and outlines the steps taken to address these challenges. The paper also discusses the future direction for this field, presenting ideas for solving the remaining challenges. This research is important in the field of Music Information Retrieval (MIR), where the goal is to search and retrieve music-related content in a content-based way.
Publication date: 25 Sep 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2309.12158
