Automated Music Composition
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Algorithmic Composition
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Author : Gerhard Nierhaus
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-28
Algorithmic Composition written by Gerhard Nierhaus and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-28 with Mathematics categories.
Algorithmic composition – composing by means of formalizable methods – has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of prominent procedures of algorithmic composition in a pragmatic way rather than by treating formalizable aspects in single works. In addition to an historic overview, each chapter presents a specific class of algorithm in a compositional context by providing a general introduction to its development and theoretical basis and describes different musical applications. Each chapter outlines the strengths, weaknesses and possible aesthetical implications resulting from the application of the treated approaches. Topics covered are: markov models, generative grammars, transition networks, chaos and self-similarity, genetic algorithms, cellular automata, neural networks and artificial intelligence are covered. The comprehensive bibliography makes this work ideal for the musician and the researcher alike.
Automated Music Composition
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Author : Phil Winsor
language : en
Publisher:
Release Date : 1992
Automated Music Composition written by Phil Winsor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Whether you’re a musician with no previous experience in computer programming, or a computer hobbyist interested in learning about music, Automated Music Composition has something to offer. The book contains BASIC language tutorials for beginning programmers; an overview of computer music applications; a systematic exposition of the principles and techniques of automated music composition; insights into contemporary trends in music and computerized sound; principles of MIDI-interfaced computer/synthesizers; a beginning course in music composition, showing in detail how to create a variety of sounds with the computer; step-by-step instructions for using plug-in-and-play programs; interactive MIDI programs listings ready for immediate use; over 50 BASIC routines for automated composition adapted for MIDI sequencers and synthesizers; numerous examples and programming ideas.
Algorithmic Composition
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Author : Mary Simoni
language : en
Publisher: University of Michigan Press
Release Date : 2013-01-02
Algorithmic Composition written by Mary Simoni and has been published by University of Michigan Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-02 with Music categories.
Algorithmic Composition offers new ways of thinking about the organization of sound that we call music
Muscil
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Author : Jean Piché
language : en
Publisher:
Release Date : 1981
Muscil written by Jean Piché and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Computer composition categories.
Swarm Intelligence And Bio Inspired Computation
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Author : Maximos A. Kaliakatsos-Papakostas
language : en
Publisher: Elsevier Inc. Chapters
Release Date : 2013-05-16
Swarm Intelligence And Bio Inspired Computation written by Maximos A. Kaliakatsos-Papakostas and has been published by Elsevier Inc. Chapters this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-16 with Computers categories.
Automatic music composition has blossomed with the introduction of intelligent methodologies in computer science. Thereby, many methodologies for automatic music composition have been or could be described as “intelligent,” but what exactly is it that makes them intelligent? Furthermore, is there any categorization of intelligent music composition (IMC) methodologies that is both consistent and descriptive? This chapter aims to provide some insights on what IMC methodologies are, through proposing and analyzing a detailed categorization of them. Toward this perspective, methodologies that incorporate bioinspired intelligent algorithms (such as cellular automata, L-systems, genetic algorithms, swarm intelligence, among others) as well as their combinations are considered and briefly reviewed. At the same time, a consistent categorization of these methodologies is proposed, taking into account the utilization of their intelligent algorithm in accordance to their overall compositional aims. To this end, three main categories can be defined: the “unsupervised,” the “supervised,” and the “interactive” IMC methodologies.
Composing Music With Computers
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Author : Eduardo Miranda
language : en
Publisher: CRC Press
Release Date : 2001-04-27
Composing Music With Computers written by Eduardo Miranda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-27 with Music categories.
Focuses on the role of the computer as a generative tool for music composition. Miranda introduces a number of computer music composition techniques ranging from probabilities, formal grammars and fractals, to genetic algorithms, cellular automata and neural computation. Anyone wishing to use the computer as a companion to create music will find this book a valuable resource. As a comprehensive guide with full explanations of technical terms, it is suitable for students, professionals and enthusiasts alike. The accompanying CD-ROM contains examples, complementary tutorials and a number of composition systems for PC and Macintosh platforms, from demonstration versions of commercial programs to exciting, fully working packages developed by research centres world-wide, including Nyquist, Bol Processor, Music Sketcher, SSEYO Koan, Open Music and the IBVA brainwaves control system, among others. This book will be interesting to anyone wishing to use the computer as a companion to create music. It is a comprehensive guide, but the technical terms are explained so it is suitable for students, professionals and enthusiasts alike.
Formalized Music
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Author : Iannis Xenakis
language : en
Publisher:
Release Date : 1992
Formalized Music written by Iannis Xenakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Music categories.
This is a new, revised, and expanded edition of Xenakis's landmark book of 1971. In addition to three totally new chapters examining recent breakthroughs in music theory, two original computer programs illustrating the actual realization of newly proposed methods of composition, and an appendix of the very latest developments of stochastic synthesis as an invitation to future exploration, Xenakis offers a very critical self-examination of his theoretical propositions and artistic output of the past thirty-five years. This edition is an essential tool for understanding the man and the thought processes of one of this century's most important and revolutionary musical figures.
Hands On Music Generation With Magenta
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Author : Alexandre DuBreuil
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Hands On Music Generation With Magenta written by Alexandre DuBreuil and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Mathematics categories.
Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key FeaturesLearn how machine learning, deep learning, and reinforcement learning are used in music generationGenerate new content by manipulating the source data using Magenta utilities, and train machine learning models with itExplore various Magenta projects such as Magenta Studio, MusicVAE, and NSynthBook Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learnUse RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequencesUse WaveNet and GAN models to generate instrument notes in the form of raw audioEmploy Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequencesPrepare and create your dataset on specific styles and instrumentsTrain your network on your personal datasets and fix problems when training networksApply MIDI to synchronize Magenta with existing music production tools like DAWsWho this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building generative music applications that use deep learning will also find this book useful. Although prior musical or technical competence is not required, basic knowledge of the Python programming language is assumed.
An Open Design For Computer Aided Algorithmic Music Composition
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Author : Christopher Ariza
language : en
Publisher: Universal-Publishers
Release Date : 2005
An Open Design For Computer Aided Algorithmic Music Composition written by Christopher Ariza and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
This dissertation introduces a new design for a computer-aided algorithmic music composition system. Rather than exploring specific algorithms, this study focuses on system and component design. The design introduced here is demonstrated through its implementation in athenaCL, a modular, polyphonic, poly-paradigm algorithmic music composition system in a cross-platform interactive command-line environment. The athenaCL system offers an open-source, object-oriented composition tool written in Python. The system can be scripted and embedded, and includes integrated instrument libraries, post-tonal and microtonal pitch modeling tools, multiple-format graphical outputs, and musical output in Csound, MIDI, audio file, XML, and text formats. Software design analysis is framed within a broad historical and intertextual study of the themes, approaches, and systems of computer-aided algorithmic composition (CAAC). A detailed history of the earliest experiments, as well as analysis of the foundational CAAC systems, is provided. Common problems and interpretations of CAAC are then presented in a historical and intertextual context, drawn from the writings and systems of numerous composers and developers. Toward the goal of developing techniques of comparative software analysis, a survey of system design archetypes, based on seven descriptors of CAAC systems, is presented. With this foundation, athenaCL system components are analyzed in detail. System components are divided into abstractions of musical materials, abstractions of musical procedures, and system architecture. For each component, object models, Python examples, and diagrams are provided. Further, each component is given context in terms of its compositional implications and relation to alternative and related models from the history of CAAC.
The Algorithmic Composer
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Author : David Cope
language : en
Publisher: A-R Editions, Inc.
Release Date : 2000-01-01
The Algorithmic Composer written by David Cope and has been published by A-R Editions, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-01 with Music categories.
Accompanying disc contains Melody Predictor (a program), Compose (a program), Fun, Déjà vu (a program), Backtalk, some tutorials, Alice (an interactive program), recorded performances of many of the works presented in the text, and MIDI performances of most of the music in the figures.