Publications

You can find an overview on Google scholar and orcid.

Latest publications

Mapping the Structure of Chinese Folk Songs: From Corpus Analysis to Cross-Cultural Listening

S. Meng / Director(s) : M. A. Rohrmeier; F. C. Moss 

Lausanne: EPFL

2026

p. 191.

DOI : 10.5075/epfl-thesis-11382

Music Theory and Model-Driven Corpus Research

C. Finkensiep; M. Neuwirth; M. Rohrmeier 

The Oxford Handbook of Music and Corpus Studies; Oxford University Press, 2025.

ISBN : 9780190945473

DOI : 10.1093/oxfordhb/9780190945442.013.21

The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG

K. Magami; R. Bianco; E. Hall; M. Pearce; M. Chait 

European Journal of Neuroscience

2025

Vol. 62 , num. 10, p. e70300.

DOI : 10.1111/ejn.70300

A Theoretical Model of Musical Form

M. Rohrmeier; M. Neuwirth 

Proceedings of the 26th International Society for Music Information Retrieval Conference

2025

International Society for Music Information Retrieval Conference (ISMIR 2025), Daejeon, South Korea and Online, 2025-09-21 – 2025-09-25.

DOI : 10.5281/zenodo.17706401

Optimising Computational Measures from Behavioural Data Predicts Perceived Consonance

E. Hall; R. Tamir; M. A. Rohrmeier 

Transactions of the International Society for Music Information Retrieval

2025

Vol. 8 , num. 1, p. 313 – 333.

DOI : https://doi.org/10.5334/tismir.243

A Corpus and a Modular Infrastructure for the Empirical Study of (an)notated Music

J. Hentschel; Y. Rammos; M. Neuwirth; M. Rohrmeier 

SCIENTIFIC DATA

2025

Vol. 12 , num. 1.

DOI : 10.1038/s41597-025-04976-z

Cortical and behavioral tracking of rhythm in music: Effects of pitch predictability, enjoyment, and expertise

A. Keitel; C. Pelofi; X. Guan; E. Watson; L. Wight et al. 

ANNALS OF THE NEW YORK ACADEMY OF SCIENCES

2025

DOI : 10.1111/nyas.15315

The Annotated Beethoven Corpus (ABC) (A corpus of annotated scores)

Markus Neuwirth; Daniel Harasim; Fabian C. Moss; Martin Rohrmeier 

2025

Arcangelo Corelli – Trio Sonatas (A corpus of annotated scores)

Johannes Hentschel; Fabian C. Moss; Markus Neuwirth; M. A. Rohrmeier 

2025

Adaptive Path of Prediction: An Unsupervised Method for Modeling Note-Level Informational Hierarchy of Polyphony

X. Wang; M. Rohrmeier 

Proceedings of the 26th International Society for Music Information Retrieval Conference

2025

International Society for Music Information Retrieval Conference (ISMIR 2025), Daejeon, South Korea, 2025-09-21 – 2025-09-25.

p. 565 – 572

DOI : 10.5281/zenodo.17811435

Syntaxmodelle

M. Neuwirth; M. Rohrmeier 

Handbuch Musikanalyse: Pluralität und Methode; Stuttgart: J.B. Metzler, 2025. p. 360 – 377.

ISBN : 9783476060068

DOI : 10.1007/978-3-476-06006-8_26

Musiktheorie: Wissenschaftstheoretische Fundierung – Kognition – Computation

M. Rohrmeier; M. Neuwirth 

Handbuch Musikanalyse: Pluralität und Methode; Stuttgart: J.B. Metzler, 2025. p. 642 – 652.

ISBN : 9783476060068

DOI : 10.1007/978-3-476-06006-8_46

Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles

C. Finkensiep; P. Ericson; S. Klassmann; M. Rohrmeier 

Music and Science

2025

Vol. 8 .

DOI : 10.1177/20592043241291661

The Annotated Mozart Sonatas: Score, Harmony, and Cadence

J. Hentschel; M. F. J. Neuwirth; M. A. Rohrmeier 

2025

Core principles of melodic organisation emerge from transmission chains with random melodies

T. Popescu; M. Rohrmeier 

Evolution and Human Behavior

2024

Vol. 45 , num. 6, p. 106619.

DOI : 10.1016/j.evolhumbehav.2024.106619

Beats in Time Across Music and Language

U. Reich; M. A. Rohrmeier 

2024

Hierarchical syntax model of music predicts theta power during music listening

S. A. Herff; L. Bonetti; P. Vuust; G. Cecchetti; M. Kringelbach et al. 

Neuropsychologia

2024

Vol. 199 , p. 108905.

DOI : 10.1016/j.neuropsychologia.2024.108905

Computational modeling of interval distributions in tonal space reveals paradigmatic stylistic changes in Western music history

F. C. Moss; R. Lieck; M. A. Rohrmeier 

Humanities & Social Sciences Communications

2024

Vol. 11 , num. 1, p. 684.

DOI : 10.1057/s41599-024-03168-1

Data-Driven Music Theory: Curating and Investigating Large Corpora of Digitally Encoded Music Analyses

J. Hentschel / Director(s) : M. A. Rohrmeier; M. F. J. Neuwirth 

Lausanne: EPFL

2024

p. 284.

DOI : 10.5075/epfl-thesis-10276

Detecting chord tone alterations and suspensions

A. McLeod; M. Rohrmeier 

Journal of New Music Research

2024

DOI : 10.1080/09298215.2024.2412595