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Author: Gerhard Nierhaus
Publisher: Springer Science & Business Media
ISBN: 3211755403
Category : Mathematics
Languages : en
Pages : 294
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Book Description
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.
Author: Gerhard Nierhaus
Publisher: Springer Science & Business Media
ISBN: 3211755403
Category : Mathematics
Languages : en
Pages : 294
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Book Description
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.
Author: Phil Winsor
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 340
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Book Description
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.
Author: Mary Simoni
Publisher: University of Michigan Press
ISBN: 0472035231
Category : Music
Languages : en
Pages : 265
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Book Description
Algorithmic Composition offers new ways of thinking about the organization of sound that we call music
Author: Eduardo Miranda
Publisher: CRC Press
ISBN: 1136120939
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
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.
Author: Alexandre DuBreuil
Publisher: Packt Publishing Ltd
ISBN: 1838825762
Category : Mathematics
Languages : en
Pages : 348
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Book Description
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.
Author: Eduardo Reck Miranda
Publisher: Springer Nature
ISBN: 3030721167
Category : Computers
Languages : en
Pages : 994
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Book Description
This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
Author: Jean-Pierre Briot
Publisher: Springer
ISBN: 3319701630
Category : Computers
Languages : en
Pages : 284
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Book Description
This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.
Author: Scott Jarrett
Publisher: John Wiley & Sons
ISBN: 9780470289938
Category : Music
Languages : en
Pages : 363
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Book Description
Want to turn that haunting tune in your head into an awesome sound in your ear? You can! Music Composition For Dummies demystifies the process of composing music and writing songs. It guides you through every step of writing your own music, from choosing the right rhythm and tempo to creating melodies and chord progressions and working with instruments and voices. In this fun and practical guide, you’ll learn how to match keys and chords to the mood you want to convey, work a form without limiting your creativity, and hammer out a musical idea, even when your mind is drawing a blank. You’ll find out how to create popular songs, classically structured pieces, and even film, TV, and video game soundtracks. And, you’ll learn what you need to know about music composition software, including Finale, Sebelius, Pro Tools, and more. Discover how to: Preserve and organize your musical ideas Work with established chord progressions or create your own Develop great rhythms Select the right instruments Find melodies in your head, your instrument, and the world around you Use major and minor scales Work with modes and moods Build melodic motifs and phrases Use the circle of fifths to harmonize Write for multiple voices Make a demo recording Filled with creative exercises to build your composing skills, Music Composition for Dummies is the resource you need to get that melody out of your head and into the world.
Author: Bill Manaris
Publisher: CRC Press
ISBN: 1482222213
Category : Computers
Languages : en
Pages : 496
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Book Description
Teach Your Students How to Use Computing to Explore Powerful and Creative IdeasIn the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts and skills necessary to generate music with computers.
Author: S. C. Marsella
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 38
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Book Description
