For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …

Music genres allow to categorize musical items that share common characteristics. Although
these categories are not mutually exclusive, most related research is traditionally focused on …

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

Intuitive and robust multimodal robot control is the key toward human–robot collaboration
(HRC) for manufacturing systems. Multimodal robot control methods were introduced in …

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 …

Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a
different type than the search query, eg, retrieving pictures relevant to a given text query. The …

This work addresses the problem of matching short excerpts of audio with their respective
counterparts in sheet music images. We show how to employ neural network-based cross …

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 …

Nowadays computers play an important role in all areas of music, from composition to
production and live performance. This is obvious for all kinds of popular music, where …

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 …