front cover of Algorithmic Composition
Algorithmic Composition
A Guide to Composing Music with Nyquist
Mary Simoni and Roger B. Dannenberg
University of Michigan Press, 2013

Composers have used formalized procedures to create music throughout history. With the advent of the computer, algorithmic composition allows composers not only to create and experiment with different formalisms, but to hear and evaluate results quickly. Often in algorithmic composition, the composer has only a vague idea how the output will sound, but because the input is highly automated, the composer can make adjustments to take advantage of happy accidents, program bugs, and other creative sources of sound.

Algorithmic Composition: A Guide to Composing Music with Nyquistprovides an overview of procedural approaches to music generation. It introduces programming concepts through many examples written using the Nyquist system for music composition and sound synthesis. Nyquist is freely available software, and over 100 program examples from this book are available in electronic form. Readers will be well equipped to develop their own algorithms for composition.

Music students who are learning about computer music and electronic music will all be interested in this innovative book, as generative music becomes an important part of the future of the discipline. Students and scholars in computer science will also find much to interest them, in a straightforward and fun way.

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front cover of The Inspiration Machine
The Inspiration Machine
Computational Creativity in Poetry and Jazz
Eitan Y. Wilf
University of Chicago Press, 2023
Explores how creative digital technologies and artificial intelligence are embedded in culture and society.
 
In The Inspiration Machine, Eitan Y. Wilf explores the transformative potentials that digital technology opens up for creative practice through three ethnographic cases, two with jazz musicians and one with a group of poets. At times dissatisfied with the limitations of human creativity, these artists do not turn to computerized algorithms merely to execute their preconceived ideas. Rather, they approach them as creative partners, delegating to them different degrees of agentive control and artistic decision-making in the hopes of finding inspiration in their output and thereby expanding their own creative horizons.
 
The algorithms these artists develop and use, however, remain rooted in and haunted by the specific social predicaments and human shortfalls that they were intended to overcome. Experiments in the digital thus hold an important lesson: although Wilf’s interlocutors returned from their adventures with computational creativity with modified, novel, and enriched capacities and predilections, they also gained a renewed appreciation for, and at times a desire to re-inhabit, non-digital creativity. In examining the potentials and pitfalls of seemingly autonomous digital technologies in the realm of art, Wilf shows that computational solutions to the real or imagined insufficiencies of human practice are best developed in relation to, rather than away from, the social and cultural contexts that gave rise to those insufficiencies, in the first place.
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