MidiBERT-piano: large-scale pre-training for symbolic music understanding

YH Chou, I Chen, CJ Chang, J Ching… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper presents an attempt to employ the mask language modeling approach of BERT
to pre-train a 12-layer Transformer model over 4,166 pieces of polyphonic piano MIDI files …

What is missing in deep music generation? a study of repetition and structure in popular music

S Dai, H Yu, RB Dannenberg - arXiv preprint arXiv:2209.00182, 2022 - arxiv.org
Structure is one of the most essential aspects of music, and music structure is commonly
indicated through repetition. However, the nature of repetition and structure in music is still …

Robust downbeat tracking using an ensemble of convolutional networks

S Durand, JP Bello, B David… - IEEE/ACM Transactions …, 2016 - ieeexplore.ieee.org
In this paper, we present a novel state-of-the-art system for automatic downbeat tracking
from music signals. The audio signal is first segmented in frames which are synchronized at …

Automatic analysis and influence of hierarchical structure on melody, rhythm and harmony in popular music

S Dai, H Zhang, RB Dannenberg - arXiv preprint arXiv:2010.07518, 2020 - arxiv.org
Repetition is a basic indicator of musical structure. This study introduces new algorithms for
identifying musical phrases based on repetition. Phrases combine to form sections yielding …

Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music

E Nakamura, M Hamanaka, K Hirata… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
This paper presents a probabilistic formulation of music language modelling based on the
generative theory of tonal music (GTTM) named probabilistic GTTM (PGTTM). GTTM is a …

[PDF][PDF] A Generalized Parsing Framework for Generative Models of Harmonic Syntax.

D Harasim, M Rohrmeier, TJ O'Donnell - ISMIR, 2018 - ismir2018.ircam.fr
Modeling the structure of musical pieces constitutes a central research problem for music
information retrieval, music generation, and musicology. At the present, models of harmonic …

Predicting Music Hierarchies with a Graph-Based Neural Decoder

F Foscarin, D Harasim, G Widmer - arXiv preprint arXiv:2306.16955, 2023 - arxiv.org
This paper describes a data-driven framework to parse musical sequences into dependency
trees, which are hierarchical structures used in music cognition research and music …

[PDF][PDF] Function-and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences.

H Tsushima, E Nakamura, K Itoyama, K Yoshii - ISMIR, 2017 - sap.ist.i.kyoto-u.ac.jp
This paper presents an automatic harmonization method that, for a given melody (sequence
of musical notes), generates a sequence of chord symbols in the style of existing data. A …

deepgttm-iii: Multi-task learning with grouping and metrical structures

M Hamanaka, K Hirata, S Tojo - … 25-28, 2017, Revised Selected Papers 13, 2018 - Springer
This paper describes an analyzer that simultaneously learns grouping and metrical
structures on the basis of the generative theory of tonal music (GTTM) by using a deep …

The jazz harmony treebank

D Harasim, C Finkensiep, P Ericson… - Proceedings of the …, 2020 - infoscience.epfl.ch
Grammatical models which represent the hierarchical structure of chord sequences have
proven very useful in recent analyses of Jazz harmony. A critical resource for building and …