Computer, Digital, and Mathematical Music

Online music services are taking off, yet few people know how to take full advantage of them. From Internet radio services to online jukeboxes and music download stores, there are scores of new options for music lovers to consider, all just a mouse-click away. THE MUSIC INTERNET UNTANGLED makes sense of these options and shows readers how to make savvy use of these services. Online music is about more than delivering music conveniently. It's about finding more good music than you ever thought possible. It's about getting A LOT more music for your money - legally. It's about finding new ways to bring music into your life.

This book offers a lively exploration of the mathematics, physics, and neuroscience that underlie music in a way that readers without scientific background can follow, explains why the perception of music encompasses the physics of sound, the functions of the ear and deep-brain auditory pathways, and the physiology of emotion.

This book provides a wealth of information for the teacher, the student, or the interested amateur to understand, at varying levels of technicality, the interplay between two ancient disciplines. A must-have book if you want to know about the music of the spheres or digital music and much in between.

Many people intuitively sense that there is a connection between mathematics and music. If nothing else, both involve counting. There is, of course, much more to the association. David Wright's book is an investigation of the interrelationships between mathematics and music, reviewing the needed background concepts in each subject as they are encountered. Along the way, readers will augment their understanding of both mathematics and music. The text explores the common foundations of the two subjects, which are developed side by side.

This text is a compilation of courses materials in Music Technology, Digital Synthesis, and Computer Assisted Composition. It blends electro-acoustic composition exercises with SuperCollider and Logic Pro topics. The goal is getting actual sounds as quickly as possible and enough SuperCollider and Logic Pro languages to prevent glassy eyes when reading the help files that come with SuperCollider and Logic Pro.

The book is designed for self-study, principally for composers. It begins with explanations of basic programming and acoustic principles then gradually builds up to the most advanced electronic music processing techniques, using Pure Data (Pd).

This is the first book to develop both the theory and the practice of synthesizing musical sounds using computers. Each chapter starts with a theoretical description of one technique or problem area and ends with a series of working examples (over 100 in all), covering a wide range of applications.

Computer music is the applications of computing technology in music composition. It includes the theory and application of new and existing technologies and basic aspects of music, such as sound synthesis, digital signal processing, sound design, sonic diffusion, acoustics, and psychoacoustics.

This book is intended as a user-friendly introduction to music and computers for college and upper-division secondary students. By organizing a presentation around interactive visual and sonic examples, we hope to provide a resource and guide for those just beginning to look at the field of computer music, as well as for more advanced computer composers who might benefit from a fresh insight.

This book chronicles the history of Center for Computer Research in Music and Acoustics (CCRMA), tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide.

There are strong links between music and mathematics dating back to Pythagoras and beyond. This book draws together the two disciplines outlining the key methods and concepts that underpin the subjects from one of the earliest uses of a musical cryptogram to computer music in the twenty-first century.

A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects.

This book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help understand concepts that might be intimidating in more traditional computer science settings.