Computational creativity and music generation systems: An introduction to the state of the art
F Carnovalini, A Rodà - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors
from computers. One of its most prolific subfields is that of Music Generation (also called …
from computers. One of its most prolific subfields is that of Music Generation (also called …
The syntax of jazz harmony: Diatonic tonality, phrase structure, and form
M Rohrmeier - Music Theory and Analysis (MTA), 2020 - ingentaconnect.com
The regularities underlying the structure building of chord sequences, harmonic phrases,
and combinations of phrases constitute a central research problem in music theory. This …
and combinations of phrases constitute a central research problem in music theory. This …
Symbolic music similarity through a graph-based representation
In this work, a novel representation system for symbolic music is described. The proposed
representation system is graph-based and could theoretically represent music both from a …
representation system is graph-based and could theoretically represent music both from a …
Learning sonata form structure on mozart's string quartets
The musical analysis of large-scale structures, such as the classical sonata form, requires to
integrate multiple analyses of local musical events into a global coherent analysis …
integrate multiple analyses of local musical events into a global coherent analysis …
Computational similarity of Portuguese folk melodies using hierarchical reduction
N Carvalho, D Diogo, G Bernardes - Proceedings of the 10th …, 2023 - dl.acm.org
We propose a method for computing the similarity of symbolically-encoded Portuguese folk
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
deepGTTM-I&II: Local boundary and metrical structure analyzer based on deep learning technique
M Hamanaka, K Hirata, S Tojo - … , CMMR 2016, São Paulo, Brazil, July 5–8 …, 2017 - Springer
This paper describes an analyzer for detecting local grouping boundaries and generating
metrical structures of music pieces based on a generative theory of tonal music (GTTM) …
metrical structures of music pieces based on a generative theory of tonal music (GTTM) …
The learnability of the grammar of jazz: Bayesian inference of hierarchical structures in harmony
D Harasim - 2020 - infoscience.epfl.ch
Musical grammar describes a set of principles that are used to understand and interpret the
structure of a piece according to a musical style. The main topic of this study is grammar …
structure of a piece according to a musical style. The main topic of this study is grammar …
A New Corpus for Computational Music Research andA Novel Method for Musical Structure Analysis
Computational models of music, while providing good descriptions of melodic development,
still cannot fully grasp the general structure comprised of repetitions, transpositions, and …
still cannot fully grasp the general structure comprised of repetitions, transpositions, and …
Experiments and detailed error-analysis of automatic square notation transcription of medieval music manuscripts using CNN/LSTM-networks and a neume dictionary
The automatic recognition of scanned Medieval manuscripts written in square notation still
represents a challenge due to degradation, non-standard layouts, or notations. We propose …
represents a challenge due to degradation, non-standard layouts, or notations. We propose …
The structure of free polyphony
C Finkensiep - 2023 - infoscience.epfl.ch
The human ability to perceive and understand music is remarkable. From an unstructured
stream of acoustic input it creates a wide range of experiences, from psycho-acoustic effects …
stream of acoustic input it creates a wide range of experiences, from psycho-acoustic effects …