MorpheuS: Generating Structured Music with Constrained Patterns and Tension

@article{Herremans2019MorpheuSGS,
  title={MorpheuS: Generating Structured Music with Constrained Patterns and Tension},
  author={Dorien Herremans and E. Chew},
  journal={IEEE Transactions on Affective Computing},
  year={2019},
  volume={10},
  pages={510-523}
}
Automatic music generation systems have gained in popularity and sophistication as advances in cloud computing have enabled large-scale complex computations such as deep models and optimization algorithms on personal devices. Yet, they still face an important challenge, that of long-term structure, which is key to conveying a sense of musical coherence. We present the MorpheuS music generation system designed to tackle this problem. MorpheuS’ novel framework has the ability to generate… Expand
Assistive Model to Generate Chord Progressions Using Genetic Programming with Artificial Immune Properties
TLDR
This work presents ChordAIS-Gen, a tool to assist the users to generate chord progressions that comply with a concrete tension profile, and proposes an objective measure capable of capturing the tension profile of a chord progression according to different tonal music parameters. Expand
A variational autoencoder for music generation controlled by tonal tension
TLDR
This research incorporates two tonal tension measures based on the Spiral Array Tension theory into a variational autoencoder model, which allows us to control the direction of the tonal pressure throughout the generated piece, as well as the overall level of tonal tensions. Expand
Learning Sonata Form Structure on Mozart's String Quartets
TLDR
The results confirm that the sonata form is better identified when the parameters are learned rather than manually set up, and open perspectives on the computational analysis of musical forms by mixing human knowledge and machine learning from annotated scores. Expand
PopMNet: Generating structured pop music melodies using neural networks
TLDR
A melody structure-based model called PopMNet is presented to generate structured pop music melodies that contain much clearer structures compared to those generated by other models, as confirmed by human behavior experiments. Expand
An analysis of procedural piano music composition with mood templates using genetic algorithms
TLDR
This work experiments with the generation of piano music using template pieces, represented in MIDI format, as a mood directive, and generates a population of random pieces for templates of two opposing moods and evolved them with a genetic algorithm. Expand
Musicality-Novelty Generative Adversarial Nets for Algorithmic Composition
TLDR
A new model called novelty game is presented to maximize the minimal distance between the machine-composed music sample and any human-compose music sample in the novelty space, where all well-known human composed music products are far from each other. Expand
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
TLDR
Three models for symbolic multi-track music generation under the framework of generative adversarial networks (GANs) are proposed, referred to as the jamming model, the composer model and the hybrid model, which can generate coherent music of four bars right from scratch. Expand
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks
TLDR
This paper proposes and study three generative adversarial networks for symbolic-domain multi-track music generation, using a data set of 127,731 MIDI bars of pop/rock music, and shows that their models can learn from the noisy MIDI files and generate coherent music of four bars right from scratch. Expand
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
TLDR
This paper presents a novel approach for calculating the valence (the positivity or negativity of the perceived emotion) of a chord progression within a lead sheet, using pre-defined mood tags proposed by music experts. Expand
Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
TLDR
A picture of the research on the definition and the evaluation of creativity, both human and computational, needed to understand how computational means can be used to obtain creative behaviors and its importance within Artificial Intelligence studies is given. Expand
...
1
2
3
4
...

References

SHOWING 1-10 OF 96 REFERENCES
MorpheuS: automatic music generation with recurrent pattern constraints and tension profiles
TLDR
MorpheuS uses state-of-the-art pattern detection techniques to find repeated patterns in a template piece, which are then used to constrain the generation process for a new polyphonic composition. Expand
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints
TLDR
A Convolutional Restricted Boltzmann Machine as a generative model is combined with gradient descent constraint optimisation to provide further control over the generation process, and it is possible to control the higher-level self-similarity structure, the meter, and the tonal properties of the resulting musical piece, while preserving its local musical coherence. Expand
Automatic melody composition based on a probabilistic model of music style and harmonic rules
TLDR
The methods proposed in this paper take into consideration different aspects related to the traditional way in which music is composed by humans such as harmony evolution and structure repetitions and apply them together with the probabilistic reutilization of rhythm patterns and pitch contours learned beforehand to compose music pieces. Expand
Generating and Evaluating Musical Harmonizations That Emulate Style
TLDR
A hybrid approach to the design of an automatic, style-specific accompaniment system that combines statistical learning with a music-theoretic framework is presented, and quantitative methods for evaluating the results of machine-generated accompaniment are proposed. Expand
Describing Global Musical Structures by Integer Programming on Musical Patterns
TLDR
An integer-programming-based approach is taken and it is shown that some important characteristics of global structures can be described only by linear equalities and inequalities, which are suitable for integer programming. Expand
Adaptive Music Generation for Computer Games
This dissertation explores a novel approach to game music that addresses the limitations of conventional game music systems in supporting a dynamically changing narrative. In the proposed approach,Expand
Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure
TLDR
This work introduces and evaluates a new metric for an objective assessment of the quality of the generated pieces and uses this measure to evaluate the outputs of a truly generative model based on Variational Autoencoders that is applied here to automated music composition. Expand
Music Composition with Interactive Evolutionary Computation
TLDR
This paper describes a new approach to music composition, more precisely the composition of rhythms, by means of IEC, to combine Genetic Algorithms and Genetic Programming, which can generate attractive musical rhythms. Expand
A First Look at Music Composition using LSTM Recurrent Neural Networks
In general music composed by recurrent neural networks (RNNs) suffers from a lack of global structure. Though networks can learn note-by-note transition probabilities and even reproduce phrases,Expand
Global Expectation-Violation as Fitness Function in Evolutionary Composition
TLDR
Using local musical expectation violation as a measure of tension, it is shown how global tension structure may be extracted from a source composition and used in a fitness function. Expand
...
1
2
3
4
5
...