WoRMS 2023

All times are given in Central European Time (CET)

9:45 Open Doors

Join the workshop on-site or remotely via Zoom.

10:00 - 11:00 Keynote

Keynote by Werner Goebl (University of Music and Performing Arts Vienna)

Abstract: The final stretch of OMR: Perfecting music score corpora with browser-based editing and validation

The latest optical music recognition (OMR) approaches, benefitting heavily from ever-improving AI models, convert score images to digital score encodings with remarkable accuracy and precision. However, even when error rates might fall to sub-decimal percentages, stakeholders who rely on these digital scores, such as musicians, music scholars or enthusiasts, demand completely error-free material and unwavering trust in the pristinely correct nature of the scores they utilize.

To mitigate this quandary, we propose a decentralized crowd-sourcing system designed to autonomously orchestrate the collective correction of conversion errors in OMR’d digital music score encodings. This system employs a remote-configurable browser-based editing interface named “mei-friend”, capable of juxtaposing specified excerpts of the source score image alongside the corresponding digital rendering. Crucially, this system includes crowd-sourced validation culminating in a distinctive “quality seal” signifying that the correctness of every measure of a given score has received endorsement from multiple individuals.

We hope that this approach represents a significant stride toward realizing a broader vision of cultivating a comprehensive repository of free, open, reliable, easily accessible and FAIR digital scores to be created, edited, validated, and used by a diverse and extensive community of users.

11:00 - 12:30 Session 1

Session chair: Elona Shatri

• Optical Music Recognition Workflow for Medieval Music Manuscripts by Ichiro Fujinaga and Gabriel Vigliensoni

• The Suzipu Musical Annotation Tool for the Creation of Machine-Readable Datasets of Ancient Chinese Music by Tristan Repolusk and Eduardo Veas

• The OmniOMR Project by Jan Hajič, jr., Petr Žabička, Jan Rychtář, Jiří Mayer, Martina Dvořáková, Filip Jebavý, Markéta Vlková, and Pavel Pecina

• Towards Music Notation and Lyrics Alignment: Gregorian Chants as Case Study by Juan Carlos Martinez-Sevilla and Francisco J. Castellanos

• Session Panel

12:30 - 13:30 Lunch Break

13:30 - 14:45 Session 2

Session chair: Jorge Calvo-Zaragoza

• Symbol Generation via Autoencoders for Handwritten Music Synthesis by Jonáš Havelka, Jiří Mayer, and Pavel Pecina

• Towards Artificially Generated Handwritten Sheet Music Datasets by Pranjali Hande, Elona Shatri, Benjamin Timms, and George Fazekas

• Improving Sheet Music Recognition using Data Augmentation and Image Enhancement by Zihui Zhang, Elona Shatri, and George Fazekas

• Session Panel

14:45 - 15:00 Coffee Break

15:00 - 16:15 Session 3

Session chair: Jan Hajič, jr.

• Rotations Are All You Need: A Generic Method For End-To-End Optical Music Recognition by Antonio Ríos-Vila

• Few-Shot Music Symbol Classification via Self-Supervised Learning and Nearest Neighbor by María Alfaro-Contreras

• A Preliminary Study of Few-shot Learning for Layout Analysis of Music Scores by Francisco J. Castellanos, Antonio Javier Gallego, and Ichiro Fujinaga

• Session Panel

16:15 - 16:30 Closing Session

• Announcements and Goodbye