Music And Artificial Intelligence

Author : Eduardo Reck Miranda
Publisher : Springer Nature
Page : 994 pages
File Size : 51,9 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 : Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández
Publisher : Springer Nature
Page : 501 pages
File Size : 51,9 Mb
Release : 2021-04-01
Category : Computers
ISBN : 9783030729141

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Artificial Intelligence in Music, Sound, Art and Design by Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández Pdf

This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.

Author : Martin Clancy
Publisher : CRC Press
Page : 184 pages
File Size : 53,5 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 : Eduardo Reck Miranda
Publisher : Routledge
Page : 307 pages
File Size : 51,9 Mb
Release : 2013-10-28
Category : Performing Arts
ISBN : 9781136652783

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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 : Juan Romero,Anikó Ekárt,Tiago Martins,João Correia
Publisher : Springer Nature
Page : 238 pages
File Size : 54,7 Mb
Release : 2020-04-09
Category : Computers
ISBN : 9783030438593

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Artificial Intelligence in Music, Sound, Art and Design by Juan Romero,Anikó Ekárt,Tiago Martins,João Correia Pdf

This book constitutes the refereed proceedings of the 9th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoCOP and EvoApplications. The 15 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers cover a wide spectrum of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.

Author : Eduardo Reck Miranda
Publisher : Routledge
Page : 319 pages
File Size : 40,7 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 : Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
Publisher : Springer
Page : 284 pages
File Size : 46,7 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 : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 95 pages
File Size : 43,5 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,Nereida Rodríguez-Fernández,Sérgio M. Rebelo
Publisher : Springer Nature
Page : 438 pages
File Size : 44,8 Mb
Release : 2023-03-31
Category : Computers
ISBN : 9783031299568

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Artificial Intelligence in Music, Sound, Art and Design by Colin Johnson,Nereida Rodríguez-Fernández,Sérgio M. Rebelo Pdf

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.

Author : Nikita Braguinski,Taylor & Francis Group
Publisher : Unknown
Page : 128 pages
File Size : 42,7 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 1032062207

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Mathematical Music by Nikita Braguinski,Taylor & Francis Group Pdf

"Mathematical Music offers a concise and easily accessible history of how mathematics was in fact used broadly 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 today's 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 an imaginary 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 the reader make sense of the discussions surrounding today's music AI by situating them in a continuous historical context"--

Author : Alexandra Bonnici,Roger B. Dannenberg,Steven Kemper,Kenneth P. Camilleri
Publisher : Frontiers Media SA
Page : 170 pages
File Size : 48,7 Mb
Release : 2021-03-16
Category : Science
ISBN : 9782889666027

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Music and AI by Alexandra Bonnici,Roger B. Dannenberg,Steven Kemper,Kenneth P. Camilleri Pdf

Author : Nikita Braguinski
Publisher : CRC Press
Page : 127 pages
File Size : 54,6 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 : Shlomo Dubnov,Ross Greer
Publisher : Unknown
Page : 0 pages
File Size : 51,8 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 : Elad Liebman
Publisher : Springer Nature
Page : 224 pages
File Size : 55,8 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9783030305192

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Sequential Decision-Making in Musical Intelligence by Elad Liebman Pdf

Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music. Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music. One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.

Author : Anonim
Publisher : Unknown
Page : 63 pages
File Size : 50,9 Mb
Release : 1995
Category : Artificial intelligence
ISBN : OCLC:226662344

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Artificial Intelligence and Music by Anonim Pdf