Understanding Music with AI

Understanding Music with AI PDF Author: Mira Balaban
Publisher: MIT Press
ISBN: 9780262521703
Category : Artificial intelligence
Languages : en
Pages : 0

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Book Description
This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity. Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs. Each chapter is put into perspective by the editors, and empirical investigations are framed by a discussion of the nature of cognitive musicology and of epistemological problems of modeling musical action. The contributions, drawn from two international workshops on AI and Music held in 1988 and 1989, are grouped in seven sections. Topics in these sections take up two views of the nature of cognitive musicology (Kugel, Laske), principles of modeling musical activity (Balaban, Bel, Blevis, Glasgow and Jenkins, Courtot, Smoliar), approaches to music composition (Ames and Domino, Laske, Marsella, Riecken), music analysis by synthesis (Cope, Ebcioglu, Maxwell), realtime performance of music (Bel and Kippen, Ohteru and Hashimoto), music perception (Desain and Honing, Jones, Miller and Scarborough, Linster), and learning/tutoring (Baker, Widmer).

Understanding Music with AI

Understanding Music with AI PDF Author: Mira Balaban
Publisher: MIT Press
ISBN: 9780262521703
Category : Artificial intelligence
Languages : en
Pages : 0

Get Book

Book Description
This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity. Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs. Each chapter is put into perspective by the editors, and empirical investigations are framed by a discussion of the nature of cognitive musicology and of epistemological problems of modeling musical action. The contributions, drawn from two international workshops on AI and Music held in 1988 and 1989, are grouped in seven sections. Topics in these sections take up two views of the nature of cognitive musicology (Kugel, Laske), principles of modeling musical activity (Balaban, Bel, Blevis, Glasgow and Jenkins, Courtot, Smoliar), approaches to music composition (Ames and Domino, Laske, Marsella, Riecken), music analysis by synthesis (Cope, Ebcioglu, Maxwell), realtime performance of music (Bel and Kippen, Ohteru and Hashimoto), music perception (Desain and Honing, Jones, Miller and Scarborough, Linster), and learning/tutoring (Baker, Widmer).

Handbook of Artificial Intelligence for Music

Handbook of Artificial Intelligence for Music PDF 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.

Mathematical Music

Mathematical Music PDF Author: Nikita Braguinski
Publisher: CRC Press
ISBN: 1000545504
Category : Mathematics
Languages : en
Pages : 127

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Book Description
Mathematical Music offers a concise and easily accessible history of how mathematics was used to create music. The story presented in this short, engaging volume ranges from ratios in antiquity to random combinations in the 17th century, 20th-century statistics, and contemporary artificial intelligence. This book provides a fascinating panorama of the gradual mechanization of thought processes involved in the creation of music. How did Baroque authors envision a composition system based on combinatorics? What was it like to create musical algorithms at the beginning of the 20th century, before the computer became a reality? And how does this all explain today’s use of artificial intelligence and machine learning in music? In addition to discussing the history and the present state of mathematical music, Braguinski also takes a look at what possibilities the near future of music AI might hold for listeners, musicians, and the society. Grounded in research findings from musicology and the history of technology, and written for the non-specialist general audience, this book helps both student and professional readers to make sense of today’s music AI by situating it in a continuous historical context.

Artificial Intelligence and Music Ecosystem

Artificial Intelligence and Music Ecosystem PDF Author: Martin Clancy
Publisher: CRC Press
ISBN: 1000688666
Category : Computers
Languages : en
Pages : 184

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Book Description
Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts. Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI. Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts.

The Artist in the Machine

The Artist in the Machine PDF Author: Arthur I. Miller
Publisher: MIT Press
ISBN: 0262539624
Category : Computers
Languages : en
Pages : 429

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Book Description
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.

Deep Learning Techniques for Music Generation

Deep Learning Techniques for Music Generation PDF 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.

Readings in Music and Artificial Intelligence

Readings in Music and Artificial Intelligence PDF Author: Eduardo Reck Miranda
Publisher: Routledge
ISBN: 113665285X
Category : Performing Arts
Languages : en
Pages : 319

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Book Description
The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners. Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.

Experiments in Musical Intelligence

Experiments in Musical Intelligence PDF Author: David Cope
Publisher:
ISBN:
Category : Composition (Music)
Languages : en
Pages : 292

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Book Description


Switched on Pop

Switched on Pop PDF Author: Nate Sloan
Publisher: Oxford University Press, USA
ISBN: 0190056657
Category : Music
Languages : en
Pages : 225

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Book Description
Pop music surrounds us - in our cars, over supermarket speakers, even when we are laid out at the dentist - but how often do we really hear what's playing? Switched on Pop is the book based on the eponymous podcast that has been hailed by NPR, Rolling Stone, The Guardian, and Entertainment Weekly for its witty and accessible analysis of Top 40 hits. Through close studies of sixteen modern classics, musicologist Nate Sloan and songwriter Charlie Harding shift pop from the background to the foreground, illuminating the essential musical concepts behind two decades of chart-topping songs. In 1939, Aaron Copland published What to Listen for in Music, the bestseller that made classical music approachable for generations of listeners. Eighty years later, Nate and Charlie update Copland's idea for a new audience and repertoire: 21st century pop, from Britney to Beyoncé, Outkast to Kendrick Lamar. Despite the importance of pop music in contemporary culture, most discourse only revolves around lyrics and celebrity. Switched on Pop gives readers the tools they need to interpret our modern soundtrack. Each chapter investigates a different song and artist, revealing musical insights such as how a single melodic motif follows Taylor Swift through every genre that she samples, André 3000 uses metric manipulation to get listeners to "shake it like a Polaroid picture," or Luis Fonsi and Daddy Yankee create harmonic ambiguity in "Despacito" that mirrors the patterns of global migration. Replete with engaging discussions and eye-catching illustrations, Switched on Pop brings to life the musical qualities that catapult songs into the pop pantheon. Readers will find themselves listening to familiar tracks in new waysand not just those from the Top 40. The timeless concepts that Nate and Charlie define can be applied to any musical style. From fanatics to skeptics, teenagers to octogenarians, non-musicians to professional composers, every music lover will discover something ear-opening in Switched on Pop.

The Creativity Code

The Creativity Code PDF Author: Marcus Du Sautoy
Publisher: Harvard University Press
ISBN: 0674244710
Category : Computers
Languages : en
Pages : 321

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Book Description
“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times