Recombinant Music

In this must-have new anthology, top media scholars explore the leading edge of digital media studies to provide a broad, authoritative survey of the study of the field and a compelling preview of future developments. This book is divided into five key areas - video games, digital images, the electronic word, computers and music, and new digital media - and offers an invaluable guide for students and scholars alike.

The Game Music Toolbox provides readers with the tools, models, and techniques to create and expand a compositional toolbox, through a collection of 20 iconic case studies taken from different eras of game music. Discover many of the composition and production techniques behind popular music themes from games such as Cyberpunk 2077, Mario Kart 8, The Legend of Zelda, Street Fighter II, Diablo, Shadow of the Tomb Raider, The Last of Us, and many others. The Game Music Toolbox features: Exclusive interviews from industry experts Transcriptions and harmonic analyses 101 music theory introductions for beginners Career development ideas and strategies Copyright and business fundamentals An introduction to audio implementation for composers Practical takeaway tasks to equip readers with techniques for their own game music The Game Music Toolbox is crucial reading for game music composers and audio professionals of all backgrounds, as well as undergraduates looking to forge a career in the video game industry.

Richard Dawkins's formulation of the meme concept in his 1976 classic The Selfish Gene has inspired three decades of work in what many see as the burgeoning science of memetics. Its underpinning theory proposes that human culture is composed of a multitude of particulate units, memes, which are analogous to the genes of biological transmission. These cultural replicators are transmitted by imitation between members of a community and are subject to mutational-evolutionary pressures over time. Despite Dawkins and several others using music in their exemplifications of what might constitute a meme, these formulations have generally been quite rudimentary, even na?. This study is the first musicologically-orientated attempt systematically to apply the theory of memetics to music. In contrast to the two points of view normally adopted in music theory and analysis - namely those of the listener and the composer - the purpose of this book is to argue for a distinct and illuminating third perspective. This point of view is metaphorical and anthropomorphic, and the metaphor is challenging and controversial, but the way of thinking adopted has its basis in well-founded scientific principles and it is capable of generating insights not available from the first two standpoints. The perspective is that of the (selfish) replicated musical pattern itself, and adopting it is central to memetics. The approach taken is both theoretical and analytical. Starting with a discussion of evolutionary thinking within musicology, Jan goes on to cover the theoretical aspects of the memetics of music, ranging from quite abstract philosophical speculation to detailed consideration of what actually constitutes a meme in music. In doing so, Jan draws upon several approaches current in music theory, including Schenkerism and Narmour's implication-realization model. To demonstrate the practical utility of the memetic perspective, Chapter 6 applies it analytically, tracing the transmission o

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.

During the last two decades, the field of music production has attracted considerable interest from the academic community, more recently becoming established as an important and flourishing research discipline in its own right. Producing Music presents cutting-edge research across topics that both strengthen and broaden the range of the discipline as it currently stands. Bringing together the academic study of music production and practical techniques, this book illustrates the latest research on producing music. Focusing on areas such as genre, technology, concepts, and contexts of production, Hepworth-Sawyer, Hodgson, and Marrington have compiled key research from practitioners and academics to present a comprehensive view of how music production has established itself and changed over the years.

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.