machine learning

Inferring Communities of Medieval Music Manuscripts Using Stochastic Block Models
What can we learn from the content of surviving medieval music manuscripts about their cultural context?
Tim Eipert, Fabian C. Moss
Inferring Communities of Medieval Music Manuscripts Using Stochastic Block Models
A Bayesian Approach to Modality and Regionality in Medieval Chant
Tim Eipert, Christoph Finkensiep, Fabian C. Moss
Künstliche Intelligenz und Musikwissenschaft
Jun 17, 2024 5:15 PM — 5:45 PM Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH)
Fabian C. Moss
Künstliche Intelligenz und Musikwissenschaft
Learning about Machine Learning with CRIM
In this tutorial-essay I will consider how we can use machine learning, specifically dimensionality reduction and embedding methods, with the CRIM corpus.
Oct 20, 2022 — Oct 22, 2022 Haverford College, Department of Music
Fabian C. Moss
Discovering Tonal Profiles with Latent Dirichlet Allocation
In this study, we use the Latent Dirichlet Allocation (LDA) topic model to discover tonal structures in a corpus of more than 2000 musical pieces from large historical range (ca. 600 years). and that the inferred topics have music-theoretically meaningful interpretations.
Fabian C. Moss, Martin Rohrmeier
Discovering Tonal Profiles with Latent Dirichlet Allocation
A Historical Analysis of Harmonic Progressions Using Chord Embeddings
Elia Anzuoni, Sinan Ayhan, Federico Dutto, Andrew McLeod, Fabian C. Moss, Martin Rohrmeier
A Historical Analysis of Harmonic Progressions Using Chord Embeddings
The Tonal Diffusion Model
Robert Lieck, Fabian C. Moss, Martin Rohrmeier
The Tonal Diffusion Model
A Model Comparison for Chord Prediction on the Annotated Beethoven Corpus
Kristoffer Landnes, Liana Mehrabyan, Victor Wiklund, Robert Lieck, Fabian C. Moss, Martin Rohrmeier