Download or read book Understanding Music with AI written by Mira Balaban and published by MIT Press. This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Download or read book Handbook of Artificial Intelligence for Music written by Eduardo Reck Miranda and published by Springer Nature. This book was released on 2021-07-02 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Readings in Music and Artificial Intelligence written by Eduardo Reck Miranda and published by Routledge. This book was released on 2013-10-28 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence Music written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Creativity Code written by Marcus Du Sautoy and published by Harvard University Press. This book was released on 2020-03-03 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times

Download or read book A I and the Art of Music written by Michael J Orr and published by Wordsmithmojo Publishing. This book was released on 2023-11-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI and the Art of Music: A New Age of Composition Unlock the Symphony of the Future Discover how Artificial Intelligence is redefining the boundaries of music in "AI and the Art of Music: A New Age of Composition." This groundbreaking book offers a comprehensive exploration of the intersection between AI and music, a journey through the innovative landscape where technology meets artistry. Why This Book is a Must-Read: Unveil the Secrets of AI in Music: Understand how AI is transforming music composition, production, and performance. From AI-driven symphonies to algorithmic improvisation, explore the cutting-edge of musical creation. Explore Ethical and Legal Landscapes: Navigate the complex ethical and legal challenges of AI-generated music. Delve into discussions about authorship, copyright, and the future of creative rights in the digital age. Gain Practical Insights: Equip yourself with practical knowledge and tips for integrating AI into your musical workflow. Whether you're a seasoned composer, an aspiring musician, or a curious enthusiast, this book offers valuable insights for everyone. Peek into the Future: Be part of the conversation about the future of AI in music. Understand the implications, challenges, and opportunities that AI presents in the evolving music industry. Features of the Book: Expert Opinions and Case Studies: Learn from real-life examples and experiences of musicians and technologists at the forefront of AI in music. Easy-to-Understand Explanations: Complex concepts are broken down into understandable language, making AI in music accessible to all. Comprehensive Resources: Access a curated list of resources, including online courses, tools, and communities, to further your exploration in AI music. Engaging and Thought-Provoking: Written with passion and expertise, the book is both informative and engaging, sparking creativity and imagination. Who Should Read This Book? Musicians and Composers: Discover new possibilities and tools for creativity. Music Producers: Learn how AI can streamline and enhance production. Students and Educators: A perfect resource for music and tech-related curriculums. Tech Enthusiasts: Explore the fascinating intersection of AI and music. Anyone Passionate About Music and Technology. Join us on a journey to the forefront of musical innovation. Embrace the future with "AI and the Art of Music: A New Age of Composition."

Download or read book Music Education An Artificial Intelligence Approach written by Matt Smith and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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".

Download or read book Music and AI written by Alexandra Bonnici and published by Frontiers Media SA. This book was released on 2021-03-16 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Music and Artificial Intelligence written by Christina Anagnostopoulou and published by Springer. This book was released on 2003-08-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mastering Suno AI for Music Production written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-19 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Suno AI for Music Production Unleash Your Musical Potential: The Comprehensive Guide to Mastering Music Production with Suno AI Do you dream of creating captivating music but feel limited by traditional methods? Look no further than Suno AI, the revolutionary music production software that empowers musicians of all levels to craft professional-sounding compositions. This comprehensive guide unlocks the full potential of Suno AI, taking you on a journey from understanding its core functionalities to mastering advanced techniques for creating unique and impactful music. Break Through Creative Barriers: Effortlessly Generate Melodies, Chords, and Rhythms: Suno AI becomes your AI muse, generating original musical elements based on your creative vision. Overcome writer's block and explore a vast universe of musical possibilities. Craft Compelling Arrangements: Suno AI goes beyond individual elements. Learn how to build cohesive arrangements, layer instruments, and create dynamic transitions for a truly immersive listening experience. Refine and Polish Your Compositions: Master the art of editing within Suno AI. Fine-tune melodies, harmonies, and rhythms to achieve the perfect sound, ensuring your music shines with professional polish. Embrace the Power of Human-Machine Collaboration: Maintain Your Artistic Control: Suno AI is your creative partner, not a replacement. Learn how to effectively communicate your vision with text prompts and refine generated elements to create music that reflects your unique artistic voice. Level Up Your Music Theory Knowledge: Unlock the full potential of Suno AI by understanding the fundamentals of music theory. This empowers you to choose the right AI-generated elements and refine them with precision. Integrate with Your Existing Workflow: Suno AI seamlessly integrates with your existing music production tools. Utilize AI-generated elements as a starting point, record vocals or live instruments, and leverage your DAW for mixing and mastering to create a final masterpiece. This SEO description entices readers by highlighting the benefits of Suno AI and emphasizing the collaborative nature of music creation with AI. It also uses targeted keywords like "music production software," "creative barriers," and "human-machine collaboration" to improve search engine ranking. Ready to embark on your musical journey with Suno AI? Download this comprehensive guide and unlock a world of creative possibilities!

Download or read book Exploring Music Contents written by Solvi Ystad and published by Springer Science & Business Media. This book was released on 2011-09-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Symposium on Computer Music Modeling and Retrieval, CMMR 2010, held in Málaga, Spain, in June 2010. The 22 revised full papers presented were specially reviewed and revised for inclusion in this proceedings volume. The book is divided in five main chapters which reflect the present challenges within the field of computer music modeling and retrieval. The chapters range from music interaction, composition tools and sound source separation to data mining and music libraries. One chapter is also dedicated to perceptual and cognitive aspects that are currently subject to increased interest in the MIR community.

Download or read book Virtual Music written by David Cope and published by MIT Press. This book was released on 2004-01-30 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual Music is about artificial creativity. Focusing on the author's Experiments in Musical Intelligence computer music composing program, the author and a distinguished group of experts discuss many of the issues surrounding the program, including artificial intelligence, music cognition, and aesthetics. The book is divided into four parts. The first part provides a historical background to Experiments in Musical Intelligence, including examples of historical antecedents, followed by an overview of the program by Douglas Hofstadter. The second part follows the composition of an Experiments in Musical Intelligence work, from the creation of a database to the completion of a new work in the style of Mozart. It includes, in sophisticated lay terms, relatively detailed explanations of how each step in the process contributes to the final composition. The third part consists of perspectives and analyses by Jonathan Berger, Daniel Dennett, Bernard Greenberg, Douglas R. Hofstadter, Steve Larson, and Eleanor Selfridge-Field. The fourth part presents the author's responses to these commentaries, as well as his thoughts on the implications of artificial creativity. The book (and corresponding Web site) includes an appendix providing extended musical examples referred to and discussed in the book, including composers such as Scarlatti, Bach, Mozart, Beethoven, Schubert, Chopin, Puccini, Rachmaninoff, Prokofiev, Debussy, Bartok, and others. It is also accompanied by a CD containing performances of the music in the text.

Download or read book Artificial Intelligence in Music Sound Art and Design written by Tiago Martins and published by Springer Nature. This book was released on 2022-04-15 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2022, held as part of Evo* 2022, in April 2022, co-located with the Evo* 2022 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 6 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.

Download or read book Artificial Intelligence written by Margaret A. Boden and published by Elsevier. This book was released on 1996-06-20 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science. - Up-to-date account of how computational ideas and techniques are relevant to psychology - Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life - Discusses a wide range of psychology from low-level vision to creativity

Download or read book The Computer Music Tutorial written by Curtis Roads and published by MIT Press. This book was released on 1996-02-27 with total page 1262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, synthesizer architecture, system interconnection, and psychoacoustics. The Computer Music Tutorial is a comprehensive text and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, synthesizer architecture, system interconnection, and psychoacoustics. A special effort has been made to impart an appreciation for the rich history behind current activities in the field. Profusely illustrated and exhaustively referenced and cross-referenced, The Computer Music Tutorial provides a step-by-step introduction to the entire field of computer music techniques. Written for nontechnical as well as technical readers, it uses hundreds of charts, diagrams, screen images, and photographs as well as clear explanations to present basic concepts and terms. Mathematical notation and program code examples are used only when absolutely necessary. Explanations are not tied to any specific software or hardware. The material in this book was compiled and refined over a period of several years of teaching in classes at Harvard University, Oberlin Conservatory, the University of Naples, IRCAM, Les Ateliers UPIC, and in seminars and workshops in North America, Europe, and Asia.

Download or read book An Open Design for Computer Aided Algorithmic Music Composition written by Christopher Ariza and published by Universal-Publishers. This book was released on 2005 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation introduces a new design for a computer-aided algorithmic music composition system. Rather than exploring specific algorithms, this study focuses on system and component design. The design introduced here is demonstrated through its implementation in athenaCL, a modular, polyphonic, poly-paradigm algorithmic music composition system in a cross-platform interactive command-line environment. The athenaCL system offers an open-source, object-oriented composition tool written in Python. The system can be scripted and embedded, and includes integrated instrument libraries, post-tonal and microtonal pitch modeling tools, multiple-format graphical outputs, and musical output in Csound, MIDI, audio file, XML, and text formats. Software design analysis is framed within a broad historical and intertextual study of the themes, approaches, and systems of computer-aided algorithmic composition (CAAC). A detailed history of the earliest experiments, as well as analysis of the foundational CAAC systems, is provided. Common problems and interpretations of CAAC are then presented in a historical and intertextual context, drawn from the writings and systems of numerous composers and developers. Toward the goal of developing techniques of comparative software analysis, a survey of system design archetypes, based on seven descriptors of CAAC systems, is presented. With this foundation, athenaCL system components are analyzed in detail. System components are divided into abstractions of musical materials, abstractions of musical procedures, and system architecture. For each component, object models, Python examples, and diagrams are provided. Further, each component is given context in terms of its compositional implications and relation to alternative and related models from the history of CAAC.

Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.