MidiBERT-piano: large-scale pre-training for symbolic music understanding
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 …
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
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 …
indicated through repetition. However, the nature of repetition and structure in music is still …
Robust downbeat tracking using an ensemble of convolutional networks
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 …
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
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 …
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 …
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.
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 …
information retrieval, music generation, and musicology. At the present, models of harmonic …
Predicting Music Hierarchies with a Graph-Based Neural Decoder
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 …
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.
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 …
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 …
structures on the basis of the generative theory of tonal music (GTTM) by using a deep …
The jazz harmony treebank
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 …
proven very useful in recent analyses of Jazz harmony. A critical resource for building and …