Friday, 19 April, 2024 - 10:45 to 13:15

Prague Music Computing Group workshop

After being established in early 2024, the Prague Music Computing Group is organizing its first workshop. The workshop will take place on Friday April 19th from 10:45 to 13:15, in room S3 of the Malá Strana building.

Most importantly, we have two invited speakers from the leading Optical Music Recognition (OMR) team, part of the Pattern Recognition and Artificial Intelligence Group, University of Alicante:


Juan C. Martínez-Sevilla: "Towards Universal Optical Music Recognition"

Abstract. Optical Music Recognition (OMR) has become a popular technology to retrieve information present in musical scores in conjunction with the increasing improvement of Deep Learning techniques, which represent the state-of-the-art in the field. However, its effectiveness is limited to cases where only one type of notation or texture is taken into account. To be able to make robust OMR systems, we explore different methods to handle diverse notations and textures seamlessly. This involves developing new vision and language algorithms in conjunction with new symbolic formats that allow systems to learn in a unified manner. Thanks to this research we move closer towards universal optical music recognition, facilitating users to effortlessly access and interact with the vast music cultural heritage.


Antonio Ríos Vila: "End-to-end Optical Music Recognition beyond staff-level transcription"

Abstract. Optical Music Recognition (OMR) is a field that has progressed significantly recently, bringing accurate systems that transcribe effectively music scores into digital formats. Despite this, there are still several limitations that hinder OMR from achieving its full potential. Specifically, state of the art OMR still depends on multi-stage pipelines for performing full-page transcription, as well as it has only been demonstrated in monophonic cases, leaving behind very relevant engravings. In this talk, we dive into research that aims to break this glass ceiling for OMR, from seeking solutions to adress beyond monophony music structures to the FP-SMT, a segmentation-free end-to-end model that is able to transcribe full-page music scores.

These will be preceded by a block of lightning talks by PMCG students, both on topics related to Optical Music Recognition (OMR) and others (computational Gregorian chant research, music generation and other topics; detailed programme below). We are looking forward to seeing you there!




Starts at

Jan Hajič

Introducing the Prague Music Computing Group


Emre Rasimgil

Unlimited Muzak: background music generation on a budget


Patrik Backo

Generating an endless drum kit


Šimon Libřický

Integrating symbolic processing in notation software


Reut Tal

With a Smile and a Song: collecting data on music emotion through a game


Jan Borecký

Open-world game audio navigation: diver rescue


Adam Štefunko

Parsimento! A data-driven model for basso continuo.





Anna Dvořáková

Mapping Gregorian chant repertoire: communities, clusters and topic models


Vojtěch Lanz

Chant melody segmentation using Bayesian nonparametrics


Vojtěch Dvořák

Music notation layouts: look fast.


Kristýna Harvanová

Synthetic realistic sheet music images


Jiří Mayer

Optical Music Recognition directly using MusicXML





Juan Carlos Martinez-Sevilla

Towards Universal Optical Music Recognition


Antonio Ríos Vila

End-to-end Optical Music Recognition beyond staff-level transcription




The Prague Music Computing Group is proud to collaborate with TAH Centre for Innovation in Technology, Arts and Humanities: