Handbook Of Artificial Intelligence For Music

Author : Eduardo Reck Miranda
Publisher : Springer Nature
Page : 994 pages
File Size : 48,7 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9783030721169

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Handbook of Artificial Intelligence for Music by Eduardo Reck Miranda Pdf

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 : Martin Clancy
Publisher : CRC Press
Page : 184 pages
File Size : 48,7 Mb
Release : 2022-09-22
Category : Computers
ISBN : 9781000688665

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Artificial Intelligence and Music Ecosystem by Martin Clancy Pdf

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 : Avron Barr,Edward A. Feigenbaum
Publisher : Butterworth-Heinemann
Page : 442 pages
File Size : 55,7 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781483214382

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The Handbook of Artificial Intelligence by Avron Barr,Edward A. Feigenbaum Pdf

The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.

Author : Bobby Owsinski
Publisher : Unknown
Page : 0 pages
File Size : 42,5 Mb
Release : 2023-11-14
Category : Electronic
ISBN : 1946837318

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The Musician's Ai Handbook by Bobby Owsinski Pdf

The Musician's Ai Handbook is the most extensive release of its kind, covering every area of music production and promotion that concerns musicians today. Written by renowned author, teacher, producer and engineer Bobby Owsinski.

Author : Eduardo Reck Miranda
Publisher : Routledge
Page : 319 pages
File Size : 40,5 Mb
Release : 2013-10-28
Category : Performing Arts
ISBN : 9781136652851

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Readings in Music and Artificial Intelligence by Eduardo Reck Miranda Pdf

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 : Shlomo Dubnov,Ross Greer
Publisher : Unknown
Page : 0 pages
File Size : 40,8 Mb
Release : 2024
Category : Artificial intelligence
ISBN : 1003240194

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Deep and Shallow by Shlomo Dubnov,Ross Greer Pdf

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music, and AI.

Author : Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
Publisher : Springer
Page : 284 pages
File Size : 54,9 Mb
Release : 2019-11-08
Category : Computers
ISBN : 9783319701639

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Deep Learning Techniques for Music Generation by Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet Pdf

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 : Nikita Braguinski
Publisher : CRC Press
Page : 127 pages
File Size : 45,9 Mb
Release : 2022-03-13
Category : Mathematics
ISBN : 9781000545500

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Mathematical Music by Nikita Braguinski Pdf

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.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 95 pages
File Size : 53,5 Mb
Release : 2023-07-04
Category : Computers
ISBN : PKEY:6610000474127

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Artificial Intelligence Music by Fouad Sabry Pdf

What Is Artificial Intelligence Music The International Computer Music Conference, the Computing Society Conference, and the International Joint Conference on Artificial Intelligence are all gathering to discuss artificial intelligence and music (AIM), which is an acronym for artificial intelligence and music. 1974 marked the year that Michigan State University played host to the very first International Computer Music Conference (ICMC). The use of artificial intelligence in musical composition, performance, theory, and digital sound processing is a topic of active investigation at the moment. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Music and artificial intelligence Chapter 2: Digital art Chapter 3: Algorithmic composition Chapter 4: Computational creativity Chapter 5: Pop music automation Chapter 6: AIVA Chapter 7: Artificial intelligence art Chapter 8: Synthetic media Chapter 9: Generative pre-trained transformer Chapter 10: Artificial intelligence and copyright (II) Answering the public top questions about artificial intelligence music. (III) Real world examples for the usage of artificial intelligence music in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence music' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence music.

Author : Colin Johnson
Publisher : Springer Nature
Page : 431 pages
File Size : 45,8 Mb
Release : 2024-05-23
Category : Electronic
ISBN : 9783031569920

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Artificial Intelligence in Music, Sound, Art and Design by Colin Johnson Pdf

Author : José M. Iñesta,Darrell C. Conklin,Rafael Ramírez-Melendez,Thomas M. Fiore
Publisher : Routledge
Page : 153 pages
File Size : 44,6 Mb
Release : 2018-10-16
Category : Mathematics
ISBN : 9781351234528

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Machine Learning and Music Generation by José M. Iñesta,Darrell C. Conklin,Rafael Ramírez-Melendez,Thomas M. Fiore Pdf

Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early days of computing. Music generation research has generally employed one of two strategies: knowledge-based methods that model style through explicitly formalized rules, and data mining methods that apply machine learning to induce statistical models of musical style. The five chapters in this book illustrate the range of tasks and design choices in current music generation research applying machine learning techniques and highlighting recurring research issues such as training data, music representation, candidate generation, and evaluation. The contributions focus on different aspects of modeling and generating music, including melody, chord sequences, ornamentation, and dynamics. Models are induced from audio data or symbolic data. This book was originally published as a special issue of the Journal of Mathematics and Music.

Author : Martha Garcia-Murillo,Ian MacInnes,Andrea Renda
Publisher : Edward Elgar Publishing
Page : 405 pages
File Size : 54,8 Mb
Release : 2024-02-12
Category : Computers
ISBN : 9781800889972

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Handbook of Artificial Intelligence at Work by Martha Garcia-Murillo,Ian MacInnes,Andrea Renda Pdf

With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.

Author : Habib, Maki K.
Publisher : IGI Global
Page : 589 pages
File Size : 43,9 Mb
Release : 2022-02-25
Category : Computers
ISBN : 9781799886877

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Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning by Habib, Maki K. Pdf

As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology. The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.

Author : Ivana Bartoletti,Anne Leslie,Shân M. Millie
Publisher : John Wiley & Sons
Page : 782 pages
File Size : 49,5 Mb
Release : 2020-04-09
Category : Business & Economics
ISBN : 9781119551928

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The AI Book by Ivana Bartoletti,Anne Leslie,Shân M. Millie Pdf

Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Author : Eckart Voigts,Robin Markus Auer,Dietmar Elflein,Sebastian Kunas,Jan Röhnert,Christoph Seelinger
Publisher : transcript Verlag
Page : 293 pages
File Size : 45,5 Mb
Release : 2024-05-31
Category : Social Science
ISBN : 9783839469224

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Artificial Intelligence - Intelligent Art? by Eckart Voigts,Robin Markus Auer,Dietmar Elflein,Sebastian Kunas,Jan Röhnert,Christoph Seelinger Pdf

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.