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| computer science in music: Making Music with Computers Bill Manaris, Andrew R. Brown, 2014-05-19 Teach Your Students How to Use Computing to Explore Powerful and Creative IdeasIn the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts and skills necessary to generate music with computers. |
| computer science in music: Introduction to Computer Music Nick Collins, 2010-02-01 A must-have introduction that bridges the gap between music and computing The rise in number of composer-programmers has given cause for an essential resource that addresses the gap between music and computing and looks at the many different software packages that deal with music technology. This up-to-date book fulfills that demand and deals with both the practical use of technology in music as well as the principles behind the discipline. Aimed at musicians exploring computers and technologists engaged with music, this unique guide merges the two worlds so that both musicians and computer scientists can benefit. Defines computer music and offers a solid introduction to representing music on a computer Examines computer music software, the musical instrument digital interface, virtual studios, file formats, and more Shares recording tips and tricks as well as exercises at the end of each section to enhance your learning experience Reviews sound analysis, processing, synthesis, networks, composition, and modeling Assuming little to no prior experience in computer programming, this engaging book is an ideal starting point for discovering the beauty that can be created when technology and music unite. |
| computer science in music: The Computer Music Tutorial Curtis Roads, 1996-02-27 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. |
| computer science in music: Programming for Musicians and Digital Artists Spencer Salazar, Ajay Kapur, Ge Wang, Perry Cook, 2014-12-23 Summary Programming for Musicians and Digital Artists: Creating Music with ChucK offers a complete introduction to programming in the open source music language ChucK. In it, you'll learn the basics of digital sound creation and manipulation while you discover the ChucK language. As you move example-by-example through this easy-to-follow book, you'll create meaningful and rewarding digital compositions and instruments that make sound and music in direct response to program logic, scores, gestures, and other systems connected via MIDI or the network. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About this Book A digital musician must manipulate sound precisely. ChucK is an audio-centric programming language that provides precise control over time, audio computation, and user interface elements like track pads and joysticks. Because it uses the vocabulary of sound, ChucK is easy to learn even for artists with little or no exposure to computer programming. Programming for Musicians and Digital Artists offers a complete introduction to music programming. In it, you'll learn the basics of digital sound manipulation while you learn to program using ChucK. Example-by-example, you'll create meaningful digital compositions and instruments that respond to program logic, scores, gestures, and other systems connected via MIDI or the network. You'll also experience how ChucK enables the on-the-fly musical improvisation practiced by communities of live music coders around the world. Written for readers familiar with the vocabulary of sound and music. No experience with computer programming is required. What's Inside Learn ChucK and digital music creation side-by-side Invent new sounds, instruments, and modes of performance Written by the creators of the ChucK language About the Authors Perry Cook, Ajay Kapur, Spencer Salazar, and Ge Wang are pioneers in the area of teaching and programming digital music. Ge is the creator and chief architect of the ChucK language. Table of Contents Introduction: ChucK programming for artistsPART 1 INTRODUCTION TO PROGRAMMING IN CHUCK Basics: sound, waves, and ChucK programming Libraries: ChucK's built-in tools Arrays: arranging and accessing your compositional data Sound files and sound manipulation Functions: making your own tools PART 2 NOW IT GETS REALLY INTERESTING! Unit generators: ChucK objects for sound synthesis and processing Synthesis ToolKit instruments Multithreading and concurrency: running many programs at once Objects and classes: making your own ChucK power tools Events: signaling between shreds and syncing to the outside world Integrating with other systems via MIDI, OSC, serial, and more |
| computer science in music: Digital Da Vinci Newton Lee, 2014-04-11 The Digital Da Vinci book series opens with the interviews of music mogul Quincy Jones, MP3 inventor Karlheinz Brandenburg, Tommy Boy founder Tom Silverman and entertainment attorney Jay L. Cooper. A strong supporter of science, technology, engineering and mathematics programs in schools, The Black Eyed Peas founding member will.i.am announced in July 2013 his plan to study computer science. Leonardo da Vinci, the epitome of a Renaissance man, was an Italian polymath at the turn of the 16th century. Since the Industrial Revolution in the 18th century, the division of labor has brought forth specialization in the workforce and university curriculums. The endangered species of polymaths is facing extinction. Computer science has come to the rescue by enabling practitioners to accomplish more than ever in the field of music. In this book, Newton Lee recounts his journey in executive producing a Billboard-charting song like managing agile software development; M. Nyssim Lefford expounds producing and its effect on vocal recordings; Dennis Reidsma, Mustafa Radha and Anton Nijholt survey the field of mediated musical interaction and musical expression; Isaac Schankler, Elaine Chew and Alexandre François describe improvising with digital auto-scaffolding; Shlomo Dubnov and Greg Surges explain the use of musical algorithms in machine listening and composition; Juan Pablo Bello discusses machine listening of music; Stephen and Tim Barrass make smart things growl, purr and sing; Raffaella Folgieri, Mattia Bergomi and Simone Castellani examine EEG-based brain-computer interface for emotional involvement in games through music and last but not least, Kai Ton Chau concludes the book with computer and music pedagogy. Digital Da Vinci: Computers in Music is dedicated to polymathic education and interdisciplinary studies in the digital age empowered by computer science. Educators and researchers ought to encourage the new generation of scholars to become as well rounded as a Renaissance man or woman. |
| computer science in music: Music and Human-Computer Interaction Simon Holland, Katie Wilkie, Paul Mulholland, Allan Seago, 2013-03-12 This agenda-setting book presents state of the art research in Music and Human-Computer Interaction (also known as ‘Music Interaction’). Music Interaction research is at an exciting and formative stage. Topics discussed include interactive music systems, digital and virtual musical instruments, theories, methodologies and technologies for Music Interaction. Musical activities covered include composition, performance, improvisation, analysis, live coding, and collaborative music making. Innovative approaches to existing musical activities are explored, as well as tools that make new kinds of musical activity possible. Music and Human-Computer Interaction is stimulating reading for professionals and enthusiasts alike: researchers, musicians, interactive music system designers, music software developers, educators, and those seeking deeper involvement in music interaction. It presents the very latest research, discusses fundamental ideas, and identifies key issues and directions for future work. |
| computer science in music: Introduction to Digital Music with Python Programming Michael S. Horn, Melanie West, Cameron Roberts, 2022-02-14 Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition. With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes. Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code. |
| computer science in music: Foundations of Computer Music Curtis Roads, John Strawn, 1987-01-01 This survey chronicles the major advances in computer music that have changed the way music is composed, performed, and recorded. It contains many of the classic, seminal articles in the field (most of which are now out of print) in revised and updated versions. Computer music pioneers, digital audio specialists, and highly knowledgeable practitioners have contributed to the book. Thirty-six articles written in the 1970s and 1980s cover sound synthesis techniques, synthesizer hardware and engineering, software systems for music, and perception and digital signal processing. The editors have provided extensive summaries for each section.Curtis Roads is editor of Computer Music Journal. John Strawn is a Research Associate at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University. |
| computer science in music: The Computer and Music Harry B. Lincoln, 2019-06-30 The first of its kind, this is book consists of twenty-one essays describing the many different uses of the digital computer in the field of music. Musicologists will find that various historical periods-from medieval to contemporary-are represented, and examples of computer analysis of ethnic music are considered. Edmund A. Bowles contributes an entertaining historical survey of music research and the computer. Lejaren Hill here discusses computer composition, both in this country and in Europe, and gives a bibliography of composers and their works. A. James Gabura's essay describes experiments in analyzing and identifying the keyboard styles of Haydn, Mozart, and Beethoven. There is also a section of particular interest to music librarians. |
| computer science in music: Algorithmic Composition Mary Simoni, Roger B Dannenberg, 2013-01-02 Algorithmic Composition offers new ways of thinking about the organization of sound that we call music |
| computer science in music: Csound Victor Lazzarini, Steven Yi, John ffitch, Joachim Heintz, Øyvind Brandtsegg, Iain McCurdy, 2016-11-15 This rigorous book is a complete and up-to-date reference for the Csound system from the perspective of its main developers and power users. It explains the system, including the basic modes of operation and its programming language; it explores the many ways users can interact with the system, including the latest features; and it describes key applications such as instrument design, signal processing, and creative electronic music composition. The Csound system has been adopted by many educational institutions as part of their undergraduate and graduate teaching programs, and it is used by practitioners worldwide. This book is suitable for students, lecturers, composers, sound designers, programmers, and researchers in the areas of music, sound, and audio signal processing. |
| computer science in music: Inside Computer Music Michael Clarke, Frédéric Dufeu, Peter Manning, 2020 Inside Computer Music is an investigation of how new technological developments have influenced the creative possibilities of composers of computer music in the last 50 years. This book combines detailed research into the development of computer music techniques with nine case studies that analyze key works in the musical and technical development of computer music. The book's companion website offers demonstration videos of the techniques used and downloadable software. There, readers can view interviews and test emulations of the software used by the composers for themselves. The software also presents musical analyses of each of the nine case studies to enable readers to engage with the musical structure aurally and interactively. |
| computer science in music: Classic Computer Science Problems in Java David Kopec, 2020-12-21 Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your new problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz |
| computer science in music: Composing Interactive Music Todd Winkler, 2001-01-26 Interactive music refers to a composition or improvisation in which software interprets live performances to produce music generated or modified by computers. In Composing Interactive Music, Todd Winkler presents both the technical and aesthetic possibilities of this increasingly popular area of computer music. His own numerous compositions have been the laboratory for the research and development that resulted in this book. The author's examples use a graphical programming language called Max. Each example in the text is accompanied by a picture of how it appears on the computer screen. The same examples are included as software on the accompanying CD-ROM, playable on a Macintosh computer with a MIDI keyboard. Although the book is aimed at those interested in writing music and software using Max, the casual reader can learn the basic concepts of interactive composition by just reading the text, without running any software. The book concludes with a discussion of recent multimedia work incorporating projected images and video playback with sound for concert performances and art installations. |
| computer science in music: Computational Music Analysis David Meredith, 2015-10-27 This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry. |
| computer science in music: New Directions in Music and Human-Computer Interaction Simon Holland, Tom Mudd, Katie Wilkie-McKenna, Andrew McPherson, Marcelo M. Wanderley, 2019-02-06 Computing is transforming how we interact with music. New theories and new technologies have emerged that present fresh challenges and novel perspectives for researchers and practitioners in music and human-computer interaction (HCI). In this collection, the interdisciplinary field of music interaction is considered from multiple viewpoints: designers, interaction researchers, performers, composers, audiences, teachers and learners, dancers and gamers. The book comprises both original research in music interaction and reflections from leading researchers and practitioners in the field. It explores a breadth of HCI perspectives and methodologies: from universal approaches to situated research within particular cultural and aesthetic contexts. Likewise, it is musically diverse, from experimental to popular, classical to folk, including tango, laptop orchestras, composition and free improvisation. |
| computer science in music: Music and the Making of Modern Science Peter Pesic, 2022-09-13 A wide-ranging exploration of how music has influenced science through the ages, from fifteenth-century cosmology to twentieth-century string theory. In the natural science of ancient Greece, music formed the meeting place between numbers and perception; for the next two millennia, Pesic tells us in Music and the Making of Modern Science, “liberal education” connected music with arithmetic, geometry, and astronomy within a fourfold study, the quadrivium. Peter Pesic argues provocatively that music has had a formative effect on the development of modern science—that music has been not just a charming accompaniment to thought but a conceptual force in its own right. Pesic explores a series of episodes in which music influenced science, moments in which prior developments in music arguably affected subsequent aspects of natural science. He describes encounters between harmony and fifteenth-century cosmological controversies, between musical initiatives and irrational numbers, between vibrating bodies and the emergent electromagnetism. He offers lively accounts of how Newton applied the musical scale to define the colors in the spectrum; how Euler and others applied musical ideas to develop the wave theory of light; and how a harmonium prepared Max Planck to find a quantum theory that reengaged the mathematics of vibration. Taken together, these cases document the peculiar power of music—its autonomous force as a stream of experience, capable of stimulating insights different from those mediated by the verbal and the visual. An innovative e-book edition available for iOS devices will allow sound examples to be played by a touch and shows the score in a moving line. |
| computer science in music: The Computer and the Cancelled Music Lessons Shingai Manjengwa, 2019-04-23 This children's book introduces young readers (and older ones) to 'data science, ' the process of ethically acquiring, analyzing, visualizing and monetizing data. With advancements in technology, new jobs are emerging and old roles are being transformed as a result of the explosion in data from mobile technology, cloud computing, social media, the internet of things (IoT), and Artificial Intelligence (AI). Start this important conversation with kids in a fun way by reading and discussing with them, how one student in this story uses data to solve a problem at school |
| computer science in music: Experiments in Musical Intelligence David Cope, 1996 |
| computer science in music: Using Computer Science in Digital Music Careers Jennifer Culp, 2017-07-15 Creating music twenty years ago was done very differently from the way it�s created today. Musicians can write, record, and mix their own music from a laptop, rather than waiting to make it big through more traditional means. This guide to the modern age of digital music and careers that can be found within that field takes readers through basic coding concepts, real-world career advice, and some of the career paths that can be explored by the music and technology savvy. |
| computer science in music: Computational Thinking in Sound Gena R. Greher, Jesse M. Heines, 2014-05 Computational Thinking in Sound is the first book for music fundamentals educators which is devoted specifically to music, sound, and technology. The book offers practical guidance on creating an interdisciplinary classroom program, and includes numerous student activities at the intersection of computing and music. |
| computer science in music: New Digital Musical Instruments Eduardo Reck Miranda, Marcelo M. Wanderley, 2006-01-01 xxii + 286 pp.Includes a Foreword by Ross Kirk |
| computer science in music: Music and Computers , 2005 |
| computer science in music: The Sound of Innovation Andrew J. Nelson, 2015-03-06 How a team of musicians, engineers, computer scientists, and psychologists developed computer music as an academic field and ushered in the era of digital music. In the 1960s, a team of Stanford musicians, engineers, computer scientists, and psychologists used computing in an entirely novel way: to produce and manipulate sound and create the sonic basis of new musical compositions. This group of interdisciplinary researchers at the nascent Center for Computer Research in Music and Acoustics (CCRMA, pronounced “karma”) helped to develop computer music as an academic field, invent the technologies that underlie it, and usher in the age of digital music. In The Sound of Innovation, Andrew Nelson chronicles the history of CCRMA, tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide. Nelson emphasizes CCRMA's interdisciplinarity, which stimulates creativity at the intersections of fields; its commitment to open sharing and users; and its pioneering commercial engagement. He shows that Stanford's outsized influence on the emergence of digital music came from the intertwining of these three modes, which brought together diverse supporters with different aims around a field of shared interest. Nelson thus challenges long-standing assumptions about the divisions between art and science, between the humanities and technology, and between academic research and commercial applications, showing how the story of a small group of musicians reveals substantial insights about innovation. Nelson draws on extensive archival research and dozens of interviews with digital music pioneers; the book's website provides access to original historic documents and other material. |
| computer science in music: Computational Musicology in Hindustani Music Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari, Moujhuri Patra, 2014-11-27 The book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music. |
| computer science in music: Encyclopedia of Computer Science and Technology Jack Belzer, Albert G. Holzman, Allen Kent, 1979-01-01 This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions. |
| computer science in music: Consuming Music Together Kenton O'Hara, Barry Brown, 2006-01-09 Listening to, buying and sharing music is an immensely important part of everyday life. Yet recent technological developments are increasingly changing how we use and consume music. This book collects together the most recent studies of music consumption, and new developments in music technology. It combines the perspectives of both social scientists and technology designers, uncovering how new music technologies are actually being used, along with discussions of new music technologies still in development. With a specific focus on the social nature of music, the book breaks new ground in bringing together discussions of both the social and technological aspects of music use. Chapters cover topics such as the use of the iPod, music technologies which encourage social interaction in public places, and music sharing on the internet. A valuable collection for anyone concerned with the future of music technology, this book will be of particular interest to those designing new music technologies, those working in the music industry, along with students of music and new technology. |
| computer science in music: Information Retrieval for Music and Motion Meinard Müller, 2007-09-09 Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization. |
| computer science in music: Mathematics and Computation in Music Jason Yust, Jonathan Wild, John Ashley Burgoyne, 2013-06-05 This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Mathematics and Computation in Music, MCM 2013, held in Montreal, Canada, in June 2013. The 18 papers presented were carefully reviewed and selected from numerous submissions. They are promoting the collaboration and exchange of ideas among researchers in music theory, mathematics, computer science, musicology, cognition and other related fields. |
| computer science in music: Fundamentals of Music Processing Meinard Müller, 2015-07-21 This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities. |
| computer science in music: Mathematics and Computation in Music Mariana Montiel, Francisco Gomez-Martin, Octavio A. Agustín-Aquino, 2019-06-11 This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Mathematics and Computation in Music, MCM 2019, held in Madrid, Spain, in June 2019. The 22 full papers and 10 short papers presented were carefully reviewed and selected from 48 submissions. The papers feature research that combines mathematics or computation with music theory, music analysis, composition, and performance. They are organized in topical sections on algebraic and other abstract mathematical approaches to understanding musical objects; remanaging Riemann: mathematical music theory as “experimental philosophy”?; octave division; computer-based approaches to composition and score structuring; models for music cognition and beat tracking; pedagogy of mathematical music theory. The chapter “Distant Neighbors and Interscalar Contiguities” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| computer science in music: The Origins of Musicality Henkjan Honing, 2019-08-20 Interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Research shows that all humans have a predisposition for music, just as they do for language. All of us can perceive and enjoy music, even if we can't carry a tune and consider ourselves “unmusical.” This volume offers interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Scholars from biology, musicology, neurology, genetics, computer science, anthropology, psychology, and other fields consider what music is for and why every human culture has it; whether musicality is a uniquely human capacity; and what biological and cognitive mechanisms underlie it. Contributors outline a research program in musicality, and discuss issues in studying the evolution of music; consider principles, constraints, and theories of origins; review musicality from cross-cultural, cross-species, and cross-domain perspectives; discuss the computational modeling of animal song and creativity; and offer a historical context for the study of musicality. The volume aims to identify the basic neurocognitive mechanisms that constitute musicality (and effective ways to study these in human and nonhuman animals) and to develop a method for analyzing musical phenotypes that point to the biological basis of musicality. Contributors Jorge L. Armony, Judith Becker, Simon E. Fisher, W. Tecumseh Fitch, Bruno Gingras, Jessica Grahn, Yuko Hattori, Marisa Hoeschele, Henkjan Honing, David Huron, Dieuwke Hupkes, Yukiko Kikuchi, Julia Kursell, Marie-Élaine Lagrois, Hugo Merchant, Björn Merker, Iain Morley, Aniruddh D. Patel, Isabelle Peretz, Martin Rohrmeier, Constance Scharff, Carel ten Cate, Laurel J. Trainor, Sandra E. Trehub, Peter Tyack, Dominique Vuvan, Geraint Wiggins, Willem Zuidema |
| computer science in music: Artificial Perception and Music Recognition Andranick S. Tanguiane, 2014-01-15 |
| computer science in music: Science, Music, And Mathematics: The Deepest Connections Michael Edgeworth Mcintyre, 2021-11-03 Professor Michael Edgeworth McIntyre is an eminent scientist who has also had a part-time career as a musician. From a lifetime's thinking, he offers this extraordinary synthesis exposing the deepest connections between science, music, and mathematics, while avoiding equations and technical jargon. He begins with perception psychology and the dichotomization instinct and then takes us through biological evolution, human language, and acausality illusions all the way to the climate crisis and the weaponization of the social media, and beyond that into the deepest parts of theoretical physics — demonstrating our unconscious mathematical abilities.He also has an important message of hope for the future. Contrary to popular belief, biological evolution has given us not only the nastiest, but also the most compassionate and cooperative parts of human nature. This insight comes from recognizing that biological evolution is more than a simple competition between selfish genes. Rather, he suggests, in some ways it is more like turbulent fluid flow, a complex process spanning a vast range of timescales.Professor McIntyre is a Fellow of the Royal Society of London (FRS) and has worked on problems as diverse as the Sun's magnetic interior, the Antarctic ozone hole, jet streams in the atmosphere, and the psychophysics of violin sound. He has long been interested in how different branches of science can better communicate with each other and with the public, harnessing aspects of neuroscience and psychology that point toward the deep 'lucidity principles' that underlie skilful communication. |
| computer science in music: Making Music with Computers Bill Manaris, Andrew R. Brown, 2014-05-19 Teach Your Students How to Use Computing to Explore Powerful and Creative Ideas In the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts and skills necessary to generate music with computers. It interweaves computing pedagogy with musical concepts and creative activities, showing students how to integrate the creativity and design of the arts with the mathematical rigor and formality of computer science. The book provides an introduction to creative software development in the Python programming language. It uses innovative music-creation activities to illustrate introductory computer programming concepts, including data types, algorithms, operators, iteration, lists, functions, and classes. The authors also cover GUIs, event-driven programming, big data, sonification, MIDI programming, client–server programming, recursion, fractals, and complex system dynamics. Requiring minimal musical or programming experience, the text is designed for courses in introductory computer science and computing in the arts. It helps students learn computer programming in a creative context and understand how to build computer music applications. Also suitable for self-study, the book shows musicians and digital music enthusiasts how to write music software and create algorithmic music compositions. Web Resource A supplementary website (http://jythonMusic.org) provides a music library and other software resources used in the text. The music library is an extension of the jMusic library and incorporates other cross-platform programming tools. The website also offers example course and associated media resources. |
| computer science in music: Computer Sound Design Eduardo Miranda, 2012-10-12 This comprehensive introduction to software synthesis techniques and programming is intended for students, researchers, musicians, sound artists and enthusiasts in the field of music technology. The art of sound synthesis is as important for the electronic musician as the art of orchestration is important for symphonic music composers. Those who wish to create their own virtual orchestra of electronic instruments and produce original sounds will find this book invaluable. It examines a variety of synthesis techniques and illustrates how to turn a personal computer into a powerful and flexible sound synthesiser. The book also discusses a number of ongoing developments that may play an important role in the future of electronic music making. Previously published as Computer Sound Synthesis for the Electronic Musician, this second edition features a foreword by Jean-Claude Risset and provides new information on: · the latest directions in digital sound representation · advances in physical modelling techniques · granular and pulsar synthesis · PSOLA technique · humanoid voice synthesis · artificial intelligence · evolutionary computing The accompanying CD-ROM contains examples, complementary tutorials and a number of synthesis systems for PC and Macintosh platforms, ranging from low level synthesis programming languages to graphic front-ends for instrument and sound design. These include fully working packages, demonstration versions of commercial software and experimental programs from top research centres in Europe, North and South America. |
| computer science in music: An Introduction to Music Technology Dan Hosken, 2014-08-01 An Introduction to Music Technology, Second Edition provides a clear overview of the essential elements of music technology for today’s musician. This book focuses on the topics that underlie the hardware and software in use today: Sound, Audio, MIDI, Computer Notation, and Computer- Assisted Instruction. Appendices cover necessary computer hardware and software concepts. Written for both music technology majors and non-majors, this textbook introduces fundamental principles and practices so students can learn to work with a wide range of software programs, adapt to new music technologies, and apply music technology in their performance, composition, teaching, and analysis. Features: Thorough explanations of key topics in music technology Content applicable to all software and hardware, not linked to just one piece of software or gear In-depth discussion of digital audio topics, such as sampling rates, resolutions, and file formats Explanations of standard audio plug-ins including dynamics processors, EQs, and delay based effects Coverage of synthesis and sampling in software instruments Pedagogical features, including: Further Reading sections that allow the student to delve deeper into topics of interest Suggested Activities that can be carried out with a variety of different programs Key Terms at the end of each chapter What Do I Need? Chapters covering the types of hardware and software needed in order to put together Audio and MIDI systems A companion website with links to audio examples that demonstrate various concepts, step-by-step tutorials, relevant hardware, software, and additional audio and video resources. The new edition has been fully updated to cover new technologies that have emerged since the first edition, including iOS and mobile platforms, online notation software, alternate controllers, and Open Sound Control (OSC). |
| computer science in music: Things a Computer Scientist Rarely Talks about Donald Ervin Knuth, 2001-01 How does a computer scientist understand infinity? What can probability theory teach us about free will? Can mathematical notions be used to enhance one's personal understanding of the Bible? Perhaps no one is more qualified to address these questions than Donald E. Knuth, whose massive contributions to computing have led others to nickname him The Father of Computer Science—and whose religious faith led him to understand a fascinating analysis of the Bible called the 3:16 project. In this series of six spirited, informal lectures, Knuth explores the relationships between his vocation and his faith, revealing the unique perspective that his work with computing has lent to his understanding of God. His starting point is the 3:16 project, an application of mathematical random sampling to the books of the Bible. The first lectures tell the story of the project's conception and execution, exploring its many dimensions of language translation, aesthetics, and theological history. Along the way, Knuth explains the many insights he gained from such interdisciplinary work. These theological musings culminate in a surprising final lecture tackling the ideas of infinity, free will, and some of the other big questions that lie at the juncture of theology and computation. Things a Computer Scientist Rarely Talks About, with its charming and user-friendly format—each lecture ends with a question and answer exchange, and the book itself contains more than 100 illustrations—is a readable and intriguing approach to a crucial topic, certain to edify both those who are serious and curious about their faiths and those who look at the science of computation and wonder what it might teach them about their spiritual world. Includes Creativity, Spirituality, and Computer Science, a panel discussion featuring Harry Lewis, Guy L. Steele, Jr., Manuela Veloso, Donald E. Knuth, and Mitch Kapor. |
| computer science in music: Understanding Music N. Alan Clark, Thomas Heflin, Jeffrey Kluball, 2015-12-21 Music moves through time; it is not static. In order to appreciate music wemust remember what sounds happened, and anticipate what sounds might comenext. This book takes you on a journey of music from past to present, from the Middle Ages to the Baroque Period to the 20th century and beyond! |
| computer science in music: A DSP Primer Kenneth Steiglitz, 1996 This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP. A DSP Primer is written for a broad audience including: Students of DSP in Engineering and Computer Science courses. Composers of computer music and those who work with digital sound. WWW and Internet developers who work with multimedia. General readers interested in science that want an introduction to DSP. Features: Offers a simple and uncluttered step-by-step approach to DSP for first-time users, especially beginners in computer music. Designed to provide a working knowledge and understanding of frequency domain methods, including FFT and digital filtering. Contains thought-provoking questions and suggested experiments that help the reader to understand and apply DSP theory and techniques. |
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