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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 ...
This book constitutes the refereed proceedings of the Third International Conference on Mathematics and Computation in Music, MCM 2011, held in Paris, France, in June 2011. The 24 revised full papers presented and the 12 short papers were carefully reviewed and selected from 62 submissions. The MCM conference is the flagship conference of the Society for Mathematics and Computation in Music. This year’s conference aimed to provide a multi-disciplinary platform dedicated to the communication and exchange of ideas amongst researchers involved in mathematics, computer science, music theory, composition, musicology, or other related disciplines. Areas covered were formalization and geometrical representation of musical structures and processes; mathematical models for music improvisation and gestures theory; set-theoretical and transformational approaches; computational analysis and cognitive musicology as well as more general discussions on history, philosophy and epistemology of music and mathematics.
Mathemusical Conversations celebrates the understanding of music through mathematics, and the appreciation of mathematics through music. This volume is a compilation of the invited talks given at the Mathemusical Conversations workshop that took place in Singapore from 13-15 February 2015, organized by Elaine Chew in partnership with Gérard Assayag for the scientific program and with Bernard Lanskey for the artistic program. The contributors are world experts and leading scholars, writing on the intersection of music and mathematics. They also focus on performance and composition, two topics which are foundational both to the understanding of human creativity and to the creation of tomorrow's music technologies. This book is essential reading for researchers in both music and mathematics. It will also appeal more broadly to scholars, students, musicians, and anyone interested in new perspectives on the intimate relationship between these two universal human activities.
Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synerg...
In Western Civilization Mathematics and Music have a long and interesting history in common, with several interactions, traditionally associated with the name of Pythagoras but also with a significant number of other mathematicians, like Leibniz, for instance. Mathematical models can be found for almost all levels of musical activities from composition to sound production by traditional instruments or by digital means. Modern music theory has been incorporating more and more mathematical content during the last decades. This book offers a journey into recent work relating music and mathematics. It contains a large variety of articles, covering the historical aspects, the influence of logic and mathematical thought in composition, perception and understanding of music and the computational aspects of musical sound processing. The authors illustrate the rich and deep interactions that exist between Mathematics and Music.
Electronic and Experimental Music: Technology, Music, and Culture, Fourth Edition provides a comprehensive history of electronic music, covering key composers, genres, and techniques used in both analog and digital synthesis. This textbook has been greatly expanded and revised with the needs of both students and instructors in mind. The reader-friendly style, logical organization, and pedagogical features provide easy access to key ideas, milestones, and concepts. Now a four-part text with fourteen chapters, the new fourth edition features new content: Audio CD of classic works of electronic music—a first for this book. Listening Guides providing annotated, moment-by-moment exploration of ...
In Western Civilization Mathematics and Music have a long and interesting history in common, with several interactions, traditionally associated with the name of Pythagoras but also with a significant number of other mathematicians, like Leibniz, for instance. Mathematical models can be found for almost all levels of musical activities from composition to sound production by traditional instruments or by digital means. Modern music theory has been incorporating more and more mathematical content during the last decades. This book offers a journey into recent work relating music and mathematics. It contains a large variety of articles, covering the historical aspects, the influence of logic and mathematical thought in composition, perception and understanding of music and the computational aspects of musical sound processing. The authors illustrate the rich and deep interactions that exist between Mathematics and Music.
Focuses on the role of the computer as a generative tool for music composition. Miranda introduces a number of computer music composition techniques ranging from probabilities, formal grammars and fractals, to genetic algorithms, cellular automata and neural computation. Anyone wishing to use the computer as a companion to create music will find this book a valuable resource. As a comprehensive guide with full explanations of technical terms, it is suitable for students, professionals and enthusiasts alike. The accompanying CD-ROM contains examples, complementary tutorials and a number of composition systems for PC and Macintosh platforms, from demonstration versions of commercial programs to exciting, fully working packages developed by research centres world-wide, including Nyquist, Bol Processor, Music Sketcher, SSEYO Koan, Open Music and the IBVA brainwaves control system, among others. This book will be interesting to anyone wishing to use the computer as a companion to create music. It is a comprehensive guide, but the technical terms are explained so it is suitable for students, professionals and enthusiasts alike.
The concept of assemblage has emerged in recent decades as a central tool for describing, analysing, and transforming dynamic systems in a variety of disciplines. Coined by Deleuze and Guattari in relation to different fields of knowledge, human practices, and nonhuman arrangements, “assemblage” is variously applied today in the arts, philosophy, and human and social sciences, forming links not only between disciplines but also between critical thought and artistic practice. Machinic Assemblages focuses on the concept’s uses, transpositions, and appropriations in the arts, bringing together the voices of artists and philosophers that have been working on and with this topic for many years with those of emerging scholar-practitioners. The volume embraces exciting new and reconceived artistic practices that discuss and challenge existing assemblages, propose new practices within given assemblages, and seek to invent totally unprecedented assemblages.
This book discusses the principles, methodologies, and challenges of robotic musicianship through an in-depth review of the work conducted at the Georgia Tech Center for Music Technology (GTCMT), where the concept was first developed. Robotic musicianship is a relatively new research field that focuses on the design and development of intelligent music-making machines. The motivation behind the field is to develop robots that not only generate music, but also collaborate with humans by listening and responding in an expressive and creative manner. This combination of human and machine creativity has the potential to surprise and inspire us to play, listen, compose, and think about music in n...