Readings In Music And Artificial Intelligence


Readings In Music And Artificial Intelligence
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Readings In Music And Artificial Intelligence


Readings In Music And Artificial Intelligence
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Author : Eduardo Reck Miranda
language : en
Publisher: Routledge
Release Date : 2013-10-28

Readings In Music And Artificial Intelligence written by Eduardo Reck Miranda and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Performing Arts categories.


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.



Readings In Music And Artificial Intelligence


Readings In Music And Artificial Intelligence
DOWNLOAD

Author : Eduardo Reck Miranda
language : en
Publisher: Routledge
Release Date : 2013-10-28

Readings In Music And Artificial Intelligence written by Eduardo Reck Miranda and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Performing Arts categories.


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.



Handbook Of Artificial Intelligence For Music


Handbook Of Artificial Intelligence For Music
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Author : Eduardo Reck Miranda
language : en
Publisher: Springer Nature
Release Date : 2021-07-02

Handbook Of Artificial Intelligence For Music written by Eduardo Reck Miranda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-02 with Computers categories.


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.



Music And Ai


Music And Ai
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Author : Alexandra Bonnici
language : en
Publisher: Frontiers Media SA
Release Date : 2021-03-16

Music And Ai written by Alexandra Bonnici and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Science categories.




Artificial Intelligence And Music Ecosystem


Artificial Intelligence And Music Ecosystem
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Author : Martin Clancy
language : en
Publisher: CRC Press
Release Date : 2022-09-22

Artificial Intelligence And Music Ecosystem written by Martin Clancy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-22 with Computers categories.


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.



Deep And Shallow


Deep And Shallow
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Author : Shlomo Dubnov
language : en
Publisher:
Release Date : 2023-11-14

Deep And Shallow written by Shlomo Dubnov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with categories.


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.



Artificial Intelligence In Music Sound Art And Design


Artificial Intelligence In Music Sound Art And Design
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Author : Colin Johnson
language : en
Publisher: Springer Nature
Release Date : 2023-03-31

Artificial Intelligence In Music Sound Art And Design written by Colin Johnson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.


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.



Deep Learning Techniques For Music Generation


Deep Learning Techniques For Music Generation
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Author : Jean-Pierre Briot
language : en
Publisher: Springer
Release Date : 2019-11-08

Deep Learning Techniques For Music Generation written by Jean-Pierre Briot and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with Computers categories.


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.



Music And Artificial Intelligence


Music And Artificial Intelligence
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Author : Christina Anagnostopoulou
language : en
Publisher: Springer
Release Date : 2003-08-02

Music And Artificial Intelligence written by Christina Anagnostopoulou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.


This book constitutes the refereed proceedings of the Second International Conference on Music and Artificial Intelligence, ICMAI 2002, held in Edinburgh, Scotland, UK in September 2002.The 16 revised full papers presented together with abstracts of 2 invited talks were carefully reviewed and selected for inclusion in the proceedings. Among the topics addressed are parsing for music and language, patterns in music, musical pattern recognition, visualisation, sound classification, tonal structure representation, musical learning systems, pattern analysis, musical perception, melodic segmentation, and time series analysis.



Artificial Intelligence And Music


Artificial Intelligence And Music
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Author :
language : en
Publisher:
Release Date : 1995

Artificial Intelligence And Music written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.