[PDF] The Ai Music Problem - eBooks Review

The Ai Music Problem


The Ai Music Problem
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The Ai Music Problem


The Ai Music Problem
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Author : Christopher W. White
language : en
Publisher: Taylor & Francis
Release Date : 2025-06-16

The Ai Music Problem written by Christopher W. White and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.


Music poses unique and complex challenges for artificial intelligence, even as 21st-century AI grows ever more adept at generating compelling content. The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity probes the challenges behind AI-generated music, with an investigation that straddles the technical, the musical, and the aesthetic. Bringing together the perspectives of the humanities and computer science, the author shows how the difficulties that music poses for AI connect to larger questions about music, artistic expression, and the increasing ubiquity of artificial intelligence. Taking a wide view of the current landscape of machine learning and Large Language Models, The AI Music Problem offers a resource for students, researchers, and the public to understand the broader issues surrounding musical AI on both technical and artistic levels. The author breaks down music theory and computer science concepts with clear and accessible explanations, synthesizing the technical with more holistic and human-centric analyses. Enabling readers of all backgrounds to understand how contemporary AI models work and why music is often a mismatch for those processes, this book is relevant to all those engaging with the intersection between AI and musical creativity today.



The Ai Music Problem


The Ai Music Problem
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Author : Christopher Wm. White
language : en
Publisher:
Release Date : 2025

The Ai Music Problem written by Christopher Wm. White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Music categories.


"As artificial intelligence has become increasingly sophisticated at producing many forms of media, it continues to be a challenge for AI to reliably and independently write convincing, enjoyable music without human guidance. The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity asks why producing and constructing music is difficult for AI, with an investigation that straddles the technical, the musical, and the aesthetic. Bringing together the perspectives of the humanities and computer science, the author shows how the difficulties that music poses for AI connect to larger questions about music, artistic expression, and the increasing ubiquity of artificial intelligence. Taking a wide view of the current landscape of machine learning and Large Language Models, The AI Music Problem offers a resource for students, researchers, and the public to understand the broader issues surrounding musical AI on both technical and artistic levels. The author breaks down music theory and computer science concepts with clear and accessible explanations, synthesizing both the technical with more holistic and human-centric analyses. Enabling readers of all backgrounds to understand how contemporary AI models work, and why music is often a mismatch for those processes, this insightful book is relevant to all those engaging with the intersection between AI and musical creativity today"--





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Author :
language : en
Publisher: IOS Press
Release Date :

written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Music Education An Artificial Intelligence Approach


Music Education An Artificial Intelligence Approach
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Author : Matt Smith
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Music Education An Artificial Intelligence Approach written by Matt Smith and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.


The research fields of "artificial intelligence and music" and "cognitive musicology" are relative newcomers to the many interdisciplinary groupings based around the centre of AI and cognitive science. They are concerned with the computational study and emulation of human behaviour with respect to music, in many aspects, and with varying degrees of emphasis on psychological plausibility. Recent publications have included work in such diverse areas as rhythm and pitch perception, performance, composition, and formal analysis. Music shares with language the property of giving access to human mental behaviour in a very direct way. As such, it has the potential to be a very useful domain for AI work. Furthermore, in the course of time, AI related work will surely throw light back onto some or all of the fields to which it is applied. Indeed, we are already beginning to feel the benefits of the application of AI techniques to music technology. It is not surprising, therefore, that one of the first areas interest for of musical AI study is that of music education. There are many ways in which an artificial intelligence or cognitive science approach to music education may be applied - for example, to automate tuition, to explain learning processes, to provide metaphors for human computer interaction, and so on. This collection of papers, which is intended to give an impression of both the breadth and depth of the field, originated from a workshop entitled "Music Education: An Artificial Intelligence Approach".



Understanding Music With Ai


Understanding Music With Ai
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Author : Mira Balaban
language : en
Publisher: MIT Press
Release Date : 1992

Understanding Music With Ai written by Mira Balaban and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Artificial intelligence categories.


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).



Music In The Ai Era


Music In The Ai Era
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Author : Mitsuko Aramaki
language : en
Publisher: Springer Nature
Release Date : 2023-06-21

Music In The Ai Era written by Mitsuko Aramaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with Computers categories.


This book constitutes the refereed proceedings and revised selected papers from the 15th International Symposium on Music in the AI Era, CMMR 2021, which took place during November 15–19, 2021 as a virtual event. The 24 full papers included in this book were carefully reviewed and selected from 48 submissions. The papers are grouped in thematical sessions on Music technology in the IA era; Interactive systems for music; Music Information Retrieval and Modeling; and Music and Performance Analysis.



Ai And The Future Of Creative Work


Ai And The Future Of Creative Work
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Author : Michael Filimowicz
language : en
Publisher: Taylor & Francis
Release Date : 2023-05-26

Ai And The Future Of Creative Work written by Michael Filimowicz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Social Science categories.


This book focuses on the intelligent technologies that are transforming creative practices and industries. The future of creative work will be more complicated than “the robots will take our jobs.” The workplace is becoming increasingly hybridized, with human and computational labor complementing each other. Some economic roles for the former will no doubt fade over time, while new roles are created to produce artificial intelligence (AI)-related technologies and implementations for productivity. New tools for the generation and personalization of content across platforms will be as ubiquitous as the automation of repetitive tasks in content creation workflows. Cultural conceptions of what it means to be a creative worker will necessarily change as a result of these transformations in human-machine labor. The volume covers the possibilities of humans and robots developing collegial relationships, creative cybernetics as machines and artists become co-creators of art, the reconcentration of corporate power as AI transforms the music industry, the rhetoric of algorithm-driven cultural production in streaming media and how artisans provide a model of counter-hegemony to automation processes. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by creative labor and industry research from communication, philosophy, robotics, media, music and the creative arts, informatics, information science, and computer science and engineering.



The Well Tempered Object


The Well Tempered Object
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Author : Stephen T. Pope
language : en
Publisher: MIT Press
Release Date : 1991

The Well Tempered Object written by Stephen T. Pope and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


Object-oriented programming (OOP) is perhaps the most important new software engineering technology of the past decade and promises to be a key factor in much of the software of the 1990s. This edited collection of articles from Computer Music Journal provides a timely and convenient source of tutorials on OOP languages and software design techniques and surveys a wide range of existing applications of this technology to music and digital signal processing. Included are the popular OOP languages LISP, Smalltalk-80, and Objective-C, and applications such as music description and composition, real-time performance, and digital signal processing.



Sequential Decision Making In Musical Intelligence


Sequential Decision Making In Musical Intelligence
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Author : Elad Liebman
language : en
Publisher: Springer Nature
Release Date : 2019-10-01

Sequential Decision Making In Musical Intelligence written by Elad Liebman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Technology & Engineering categories.


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.



Music Technology With Swing


Music Technology With Swing
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Author : Mitsuko Aramaki
language : en
Publisher: Springer
Release Date : 2018-11-23

Music Technology With Swing written by Mitsuko Aramaki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Computers categories.


This book constitutes the refereed proceedings of the 13th International Symposium on Music Technology with Swing, CMMR 2017, held in Matosinhos, Portugal, in September 2017. The 44 full papers presented were selected from 64 submissions. The papers are grouped in eight sections: music information retrieval, automatic recognition, estimation and classification, electronic dance music and rhythm, computational musicology, sound in practice: auditory guidance and feedback in the context of motor learning and motor adaptation, human perception in multimodal context, cooperative music networks and musical HCIs, virtual and augmented reality, research and creation: spaces and modalities.