There has been a rapid growth of digitally available music data, including audio recordings,
digitized images of sheet music, album covers and liner notes, and video clips. This huge …

This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

Towards improving the performance in various music information processing tasks, recent
studies exploit different modalities able to capture diverse aspects of music. Such modalities …

This work addresses the problem of matching musical audio directly to sheet music, without
any higherlevel abstract representation. We propose a method that learns joint embedding …

The melody extraction problem is analogue to semantic segmentation on a time-frequency
image, in which every pixel on the image is classified as a part of a melody object or not …

Detecting music notation symbols is the most immediate unsolved subproblem in Optical
Music Recognition for musical manuscripts. We show that a U-Net architecture for semantic …

Score following is the process of tracking a musical performance (audio) with respect to a
known symbolic representation (a score). We start this paper by formulating score following …

Artist similarity plays an important role in organizing, understanding, and subsequently,
facilitating discovery in large collections of music. In this paper, we present a hybrid …

This paper studies the problem of automatically generating piano score following videos
given an audio recording and raw sheet music images. Whereas previous works focus on …

Many applications of cross-modal music retrieval are related to connecting sheet music
images to audio recordings. A typical and recent approach to this is to learn, via deep neural …