14 research outputs found
A Functional Taxonomy of Music Generation Systems
Digital advances have transformed the face of automatic music generation
since its beginnings at the dawn of computing. Despite the many breakthroughs,
issues such as the musical tasks targeted by different machines and the degree
to which they succeed remain open questions. We present a functional taxonomy
for music generation systems with reference to existing systems. The taxonomy
organizes systems according to the purposes for which they were designed. It
also reveals the inter-relatedness amongst the systems. This design-centered
approach contrasts with predominant methods-based surveys and facilitates the
identification of grand challenges to set the stage for new breakthroughs.Comment: survey, music generation, taxonomy, functional survey, survey,
automatic composition, algorithmic compositio
MorpheuS: Generating Structured Music with Constrained Patterns and Tension
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 polyphonic pieces with a given
tension profile and long- and short-term repeated pattern structures. A
mathematical model for tonal tension quantifies the tension profile and
state-of-the-art pattern detection algorithms extract repeated patterns in a
template piece. An efficient optimization metaheuristic, variable neighborhood
search, generates music by assigning pitches that best fit the prescribed
tension profile to the template rhythm while hard constraining long-term
structure through the detected patterns. This ability to generate affective
music with specific tension profile and long-term structure is particularly
useful in a game or film music context. Music generated by the MorpheuS system
has been performed live in concerts.Comment: IEEE Transactions on Affective Computing. PP(99
Generating structured music for bagana using quality metrics based on Markov models.
This research is partially supported by the project Lrn2Cre8 which acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET Grant No. 610859
Music Learning with Massive Open Online Courses
Steels, Luc et al.-- Editors: Luc SteelsMassive Open Online Courses, known as MOOCs, have arisen as the logical consequence of marrying long-distance education with the web and social media. MOOCs were confidently predicted by advanced thinkers decades ago. They are undoubtedly here to stay, and provide a valuable resource for learners and teachers alike.
This book focuses on music as a domain of knowledge, and has three objectives: to introduce the phenomenon of MOOCs; to present ongoing research into making MOOCs more effective and better adapted to the needs of teachers and learners; and finally to present the first steps towards 'social MOOCs’, which support the creation of learning communities in which interactions between learners go beyond correcting each other's assignments. Social MOOCs try to mimic settings for humanistic learning, such as workshops, small choirs, or groups participating in a Hackathon, in which students aided by somebody acting as a tutor learn by solving problems and helping each other.
The papers in this book all discuss steps towards social MOOCs; their foundational pedagogy, platforms to create learning communities, methods for assessment and social feedback and concrete experiments. These papers are organized into five sections: background; the role of feedback; platforms for learning communities; experiences with social MOOCs; and looking backwards and looking forward.
Technology is not a panacea for the enormous challenges facing today's educators and learners, but this book will be of interest to all those striving to find more effective and humane learning opportunities for a larger group of students.Funded by the European Commission's OpenAIRE2020 project.Peer reviewe
Parameter Search for Aesthetic Design and Composition
PhDThis thesis is about algorithmic creation in the arts – where an artist, designer or composer uses
a formal generative process to assist in crafting forms and patterns – and approaches to finding
effective input parameter values to these generative processes for aesthetic ends.
Framed in three practical studies, approaches to navigating the aesthetic possibilities of generative
processes in sound and visuals are presented, and strategies for eliciting the preferences
of the consumers of the generated output are explored.
The first study presents a musical interface that enables navigation of the possibilities of a
stochastic generative process with respect to measures of subjective predictability. Through a
mobile phone version of the application, aesthetic preferences are crowd-sourced.
The second study presents an eye-tracking based framework for the exploration of the possibilities
afforded by generative designs; the interaction between the viewers’ gaze patterns and
the system engendering a fluid navigation of the state-space of the visual forms.
The third study presents a crowd-sourced interactive evolutionary system, where populations
of abstract colour images are shaped by thousands of preference selections from users worldwide
For each study, the results of analyses eliciting the attributes of the generated outputs – and
their associated parameter values – that are most preferred by the consumers/users of these systems
are presented.
Placed in a historical and theoretical context, a refined perspective on the complex interrelationships
between generative processes, input parameters and perceived aesthetic value is
presented.
Contributions to knowledge include identified trends in objective aesthetic preferences in
colour combinations and their arrangements, theoretical insights relating perceptual mechanisms
to generative system design and analysis, strategies for effectively leveraging evolutionary computation
in an empirical aesthetic context, and a novel eye-tracking based framework for the
exploration of visual generative designs.Engineering and Physical Sciences Research Council (EPSRC)
as part of the Doctoral Training Centre in Media and Arts Technology at Queen Mary University
of London (ref: EP/G03723X/1)
Safe and Sound: Proceedings of the 27th Annual International Conference on Auditory Display
Complete proceedings of the 27th International Conference on Auditory Display (ICAD2022), June 24-27. Online virtual conference