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Author: Martin Clancy Publisher: CRC Press ISBN: 1000688666 Category : Computers Languages : en Pages : 184
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.
Author: Martin Clancy Publisher: Focal Press ISBN: 9780367405779 Category : Computers Languages : en Pages : 0
Book Description
Artificial Intelligence and Music Ecosystem is an introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts. Featuring an array of voices, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI.
Author: Martin Clancy Publisher: CRC Press ISBN: 1000688666 Category : Computers Languages : en Pages : 184
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.
Author: Eduardo Reck Miranda Publisher: Springer Nature ISBN: 3030721167 Category : Computers Languages : en Pages : 994
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: Bernd Carsten Stahl Publisher: Springer Nature ISBN: 3030699781 Category : Computers Languages : en Pages : 128
Book Description
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Author: Jean-Pierre Briot Publisher: Springer ISBN: 3319701630 Category : Computers Languages : en Pages : 284
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: Eckart Voigts Publisher: transcript Verlag ISBN: 3839469228 Category : Social Science Languages : en Pages : 293
Book Description
As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
Author: Guy Morrow Publisher: Taylor & Francis ISBN: 1040132030 Category : Business & Economics Languages : en Pages : 103
Book Description
To what extent is it possible to do good work in music artist management? Drawing upon original research, this shortform book explores and evaluates motivation, remuneration and equity stakes within the music industries. The author ponders the apparent managerial exodus from the music industries and whether this brain drain could be addressed by providing better remuneration via equity. Based on evidence from Australia, the book illuminates how pay in this sector has remained flat despite increasing responsibility. Emphasising the quality of the subjective experience of music artist managers, this concise book provides readers with new insights into the important role managers play in the music business. The result is a book that will be useful reading for academics and reflective practitioners.
Author: Eduardo Reck Miranda Publisher: Routledge ISBN: 113665285X Category : Performing Arts Languages : en Pages : 319
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.
Author: Tiziano Bonini Publisher: Palgrave Macmillan ISBN: 9783031439643 Category : Music Languages : en Pages : 0
Book Description
Grounded in more than a decade of field research, this book uses empirical examples, quantitative data, and qualitative interviews with young music consumers as well as music industry professionals to understand how the platforms behind music production, distribution and listening work in our digital society. Bringing together the perspectives from science and technology studies, media studies, and the political economy of digital platforms, the book outlines the process of mutual construction between music digital platforms and the cultural value of music in today’s society, and also reflects on the complicated relationship between the power of platforms and the agency of listeners.
Author: Colin Johnson Publisher: Springer Nature ISBN: 3031299566 Category : Computers Languages : en Pages : 438
Book Description
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.