Prague Music Computing Group

We are a new research group that, as the name suggests, works on the computational processing and modeling of music in its various forms. Our strongest topics are Optical Music Recognition (OMR), and digital Gregorian chant scholarship. We are a part of the Institute of Formal and Applied Linguistics (UFAL).

The People

MgA. Jan Hajič jr., Ph.D. -- group lead and harpsichordist

Assoc. Prof. Pavel Pecina, Ph.D. -- in his capacity as PhD student supervisor

Mgr. Jiří Mayer -- Ph.D. student, Optical Music Recognition

Mgr. Adam Štefunko -- Ph.D. student, Computational models of basso continuo

Mgr. Vojtěch Lanz -- Ph.D. student, non-musical thesis but involved in chant scholarship -- melody segmentation with unsupervised Bayesian methods.

Bc. Jan Borecký -- Mgr. student, music as navigational tool in open-world games for the visually impaired.

Reut Tal -- Bc. student, a game for collecting music emotion judgments in an immersive environment

Anna Dvořáková -- Bc. student, analysing Gregorian chant repertoire traditions with clustering, community detection, and topic models

Patrik Backo -- Bc. student, generating drum kit sounds for electronic music.

Emre Rasimgil -- Bc. student, generating background music cheaply

Kristýna Harvanová -- Bc. student, synthesizing realistic images for Optical Music Recognition

Vojtěch Dvořák -- Bc. student, image segmentation fast sheet music layout analysis

Šimon Libřický -- Bc. student, component for automatically incorporating arbitrary symbolic music processing tools into MuseScore

The Projects

OmniOMR (2023-2027): a project of the Ministry of Culture of the Czech Republic for developing an Optical Music Recognition system and deploying it at scale in the Moravian Library. PI: Jan Hajič.

DACT (2023-2030), Chant Analytics. Jan Hajič is a co-investigator of this 7-year Partnership Grant of the Social Sciences and Humanities Research Council of Canada (grant no. 895-2023-1002), leading the Chant Analytics team.

MASHCIMA (2023-2025): a project of the Grant Agency of the Charles University (GAUK) focusing on generating synthetic data for Optical Music Recognition. PI: Jiří Mayer.

Teaching

We start teaching the Computational Music Processing course (NPFL144) in 2024/2025.

If you are interested in a music-oriented thesis or individual software project, contact: hajicj@ufal.mff.cuni.cz

The Events

September 5th, 2024: Three of our students defend their Bc. theses: Anna Dvořáková (mapping the repertoire of Gregorian Chant), Patrik Backo (Neural drum one-shot synthesis) and Emre Rasimgil (generating low-cost elevator music).

September 19th, 2024: We go to Vienna! Jan Hajič and Adam Štefunko are presenting PMCG work for the

(Past)

June 6th, 2024: DACT Chant Analytics Workshop

April 19th, 2024: 1st PMCG Workshop